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\n  \n 2021\n \n \n (12)\n \n \n
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\n \n\n \n \n \n \n \n P4Update: fast and locally verifiable consistent network updates in the P4 data plane.\n \n \n \n\n\n \n Zhou, Z.; He, M.; Kellerer, W.; Blenk, A.; and Foerster, K.\n\n\n \n\n\n\n In Proc. ACM CoNEXT, Munich, Germany (Virtual Conference), 2021. ACM\n \n\n\n\n
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@inproceedings{GeorgeP4Update2021,\n\tauthor = {Zhou, Zikai and He, Mu and Kellerer, Wolfgang and Blenk, Andreas and Foerster, Klaus-Tycho},\n\tauthor+an =\t{4=highlight},\n\ttitle = {P4Update: fast and locally verifiable consistent network updates in the P4 data plane},\n\tbooktitle = {Proc. ACM CoNEXT},\n\tyear = {2021},\n\tpublisher = {ACM},\n\t\taddress = {Munich, Germany (Virtual Conference)},\n\tkeywords  = {habil, ownConference},\n\tdoi = {10.1145/3485983.3494845},\n}\n\n
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\n \n\n \n \n \n \n \n ExReC: Experimental Framework for Reconfigurable Networks Based on Off-the-Shelf Hardware.\n \n \n \n\n\n \n Zerwas, J.; Avin, C.; Schmid, S.; and Blenk, A.\n\n\n \n\n\n\n In Symposium on Architectures for Networking and Communications Systems (ANCS ’21), Layfette, IN, USA, Dec 2021. ACM\n \n\n\n\n
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@inproceedings{ZerwasExREC2021,\n\tauthor = {Zerwas, Johannes and  Avin, Chen and  Schmid, Stefan and  Blenk, Andreas},\n\t\tauthor+an =\t{4=highlight},\n\ttitle = {ExReC: Experimental Framework for Reconfigurable Networks Based on Off-the-Shelf Hardware},\n\tbooktitle = {Symposium on Architectures for Networking and Communications Systems (ANCS ’21)},\n\tyear = {2021},\n\tpublisher = {ACM},\n\taddress = {Layfette, IN, USA},\n\tkeywords  = {habil, ownConference},\n\tmonth = {Dec},\n}\n\n
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\n \n\n \n \n \n \n \n Macchiato: Importing Cache Side Channels to SDNs.\n \n \n \n\n\n \n Sabzi, A.; Schiff, L.; Thimmaraju, K.; Blenk, A.; and Schmid, S.\n\n\n \n\n\n\n In Symposium on Architectures for Networking and Communications Systems (ANCS ’21), Layfette, IN, USA, Dec 2021. ACM\n \n\n\n\n
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@INPROCEEDINGS{ancs21sidechannel,\n\tauthor = {Amir Sabzi and Liron Schiff and Kashyap Thimmaraju and Andreas Blenk and Stefan Schmid},\n\ttitle = {Macchiato: Importing Cache Side Channels to SDNs},\n\tbooktitle = {Symposium on Architectures for Networking and Communications Systems (ANCS ’21)},\n\tyear = {2021},\n\tpublisher = {ACM},\n\taddress = {Layfette, IN, USA},\n\tkeywords  = {habil, ownConference},\n\tmonth = {Dec},\n} \n\n
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\n \n\n \n \n \n \n \n Cerberus: The Power of Choices in Datacenter Topology Design (A Throughput Perspective).\n \n \n \n\n\n \n Griner, C.; Zerwas, J.; Blenk, A.; Ghobadi, M.; Schmid, S.; and Avin, C.\n\n\n \n\n\n\n Proc. of the ACM on Measurement and Analysis of Computing Systems, Vol. 5(No. 3). Dec 2021.\n \n\n\n\n
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@article{GrinerCerberus2021 ,\n\tauthor = {Griner, Chen and  Zerwas, Johannes and  Blenk, Andreas and  Ghobadi, Manya and  Schmid, Stefan and  Avin, Chen},\n\tauthor+an =\t{3=highlight},\n\ttitle = {Cerberus: The Power of Choices in Datacenter Topology Design (A Throughput Perspective)},\n\tjournal = {Proc. of the ACM on Measurement and Analysis of Computing Systems},\n\tyear = {2021},\n\tvolume = {Vol. 5},\n\tmonth = {Dec},\n\tnumber = {No. 3},\n\tdoi = {10.1145/3491050},\n\tkeywords  = {habil, ownJournal},\n\tlanguage = {en},\n}\n\n
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\n \n\n \n \n \n \n \n On the Benefits of Joint Optimization of Reconfigurable CDN-ISP Infrastructure.\n \n \n \n\n\n \n Zerwas, J.; Poese, I.; Schmid, S.; and Blenk, A.\n\n\n \n\n\n\n IEEE Transactions on Network and Service Management,1-1. 2021.\n \n\n\n\n
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@ARTICLE{ZerwasCDNISP2021,\n\tauthor={Zerwas, Johannes and Poese, Ingmar and Schmid, Stefan and Blenk, Andreas},\n    author+an =\t{4=highlight},\n\tjournal={IEEE Transactions on Network and Service Management}, \n\ttitle={On the Benefits of Joint Optimization of Reconfigurable CDN-ISP Infrastructure}, \n\tyear={2021},\n\tvolume={},\n\tnumber={},\n\tpages={1-1},\nkeywords  = {habil, ownJournal},\n\tdoi={10.1109/TNSM.2021.3119134}\n}\n\n\n\n
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\n \n\n \n \n \n \n \n Network Traffic Characteristics of Machine Learning Frameworks Under the Microscope.\n \n \n \n\n\n \n Zerwas, J.; Aykurt, K.; Schmid, S.; and Blenk, A.\n\n\n \n\n\n\n In 17th International Conference on Network and Service Management (CNSM 2021), Izmir, Turkey, Oct 2021. \n \n\n\n\n
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@inproceedings{Zerwas2021b,\n\tauthor = {Zerwas, Johannes and  Aykurt, Kaan and  Schmid, Stefan and  Blenk, Andreas},\n\ttitle = {Network Traffic Characteristics of Machine Learning Frameworks Under the Microscope},\n\tbooktitle = {17th International Conference on Network and Service Management (CNSM 2021)},\n\tyear = {2021},\n\taddress = {Izmir, Turkey},\n\tmonth = {Oct},\n}\n
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\n \n\n \n \n \n \n \n Designing Algorithms for Data-Driven Network Management and Control: State-of-the-Art and Challenges.\n \n \n \n\n\n \n Blenk, A.; Krämer, P.; Zerwas, J.; and Schmid, S.\n\n\n \n\n\n\n In Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning, 8. John Wiley & Sons, Ltd, 2021.\n \n\n\n\n
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@incollection{BlenkDesigningAlgorithms,\n\tauthor = {Blenk, Andreas and  Krämer, Patrick and  Zerwas, Johannes and  Schmid, Stefan}, \n\ttitle = {Designing Algorithms for Data-Driven Network Management and Control: State-of-the-Art and Challenges},\n\tchapter = {8},\n\tbooktitle = {Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning},\n\tpublisher = {John Wiley & Sons, Ltd}, \n\tyear = {2021},\n\tisbn = {9781119675501},\n\tdoi = {https://doi.org/10.1002/9781119675525.ch8},\n}\n\n
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\n \n\n \n \n \n \n \n MARC: On Modeling and Analysis of Software-Defined Radio Access Network Controllers.\n \n \n \n\n\n \n Papa, A.; Durner, R.; Goshi, E.; Goratti, L.; Rasheed, T.; Blenk, A.; and Wolfgang, K.\n\n\n \n\n\n\n IEEE Transactions on Network and Service Management. 2021.\n \n\n\n\n
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@Article{papa2021,\n  author   = {Papa, Arled and Durner, Raphael and Goshi, Endri and Goratti, Leonardo and Rasheed, Tinku and Blenk, Andreas and Kellerer Wolfgang},\n  journal  = {IEEE Transactions on Network and Service Management},\n  title    = {MARC: On Modeling and Analysis of Software-Defined Radio Access Network Controllers},\n  year     = {2021},\n  abstract = {Network programmability also sneaked into the mobile world leading to the emergence of Software-Defined Radio Access Network (SD-RAN) architectures. Interestingly, while only a small number of prototype architectures exist for SD-RAN, their performance evaluations are unfortunately also limited. Recent evaluations are carried out for small network dimensions of up to 50 devices, while emerging 5G/6G networks envision numbers of devices beyond 5000. Although 5G/6G applications are more stringent with respect to latency guarantees, performance evaluations of such low scale remain questionable. To fill this void, this paper presents MARC: a novel benchmarking tool for SD-RAN architectures and their controllers. We use MARC to measure, analyze and identify performance implications for two state-of-the-art open source SD-RAN solutions: FlexRAN and 5G-EmPOWER. We perceive results for monitoring application scenarios considering fully centralized control. For this setting, our findings show that the proposed architectures with a single SD-RAN controller are not scalable and can even lead to unpredictable network operations. Using our tool and based on our insights, we provide and implement design guidelines for the internal working behavior of the existing controllers.},\n  doi      = {10.1109/TNSM.2021.3095673},\n  keywords = {habil},\n}\n\n\n
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\n Network programmability also sneaked into the mobile world leading to the emergence of Software-Defined Radio Access Network (SD-RAN) architectures. Interestingly, while only a small number of prototype architectures exist for SD-RAN, their performance evaluations are unfortunately also limited. Recent evaluations are carried out for small network dimensions of up to 50 devices, while emerging 5G/6G networks envision numbers of devices beyond 5000. Although 5G/6G applications are more stringent with respect to latency guarantees, performance evaluations of such low scale remain questionable. To fill this void, this paper presents MARC: a novel benchmarking tool for SD-RAN architectures and their controllers. We use MARC to measure, analyze and identify performance implications for two state-of-the-art open source SD-RAN solutions: FlexRAN and 5G-EmPOWER. We perceive results for monitoring application scenarios considering fully centralized control. For this setting, our findings show that the proposed architectures with a single SD-RAN controller are not scalable and can even lead to unpredictable network operations. Using our tool and based on our insights, we provide and implement design guidelines for the internal working behavior of the existing controllers.\n
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\n \n\n \n \n \n \n \n What You Need to Know About Optical Circuit Reconfigurations in Datacenter Networks.\n \n \n \n\n\n \n Zerwas, J.; Kellerer, W.; and Blenk, A.\n\n\n \n\n\n\n In Proc. ITC, pages 1 – 9, Avignon, France, August 2021. \n \n\n\n\n
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@InProceedings{zerwas2021,\n  author    = {Zerwas, Johannes and Kellerer, Wolfgang and Blenk, Andreas},\n  booktitle = {Proc. ITC},\n  title     = {What You Need to Know About Optical Circuit Reconfigurations in Datacenter Networks},\n  year      = {2021},\n  address   = {Avignon, France},\n  month     = aug,\n  pages     = {1 -- 9},\n keywords  = {habil},\n}\n\n
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\n \n\n \n \n \n \n \n sfc2cpu: Operating a Service Function Chain Platform with Neural Combinatorial Optimization.\n \n \n \n\n\n \n Krämer, P.; Diederich, P.; Krämer, C.; Pries, R.; Kellerer, W.; and Blenk, A.\n\n\n \n\n\n\n In IFIP/IEEE IM 2021, pages 1 96– 205, Bordeaux, France, May 2021. IEEE\n \n\n\n\n
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@InProceedings{kraemer2021,\n  author    = {Krämer, Patrick and Diederich, Philip and Krämer, Corinna and Pries, Rastin and Kellerer, Wolfgank and Blenk, Andreas},\n  booktitle = {IFIP/IEEE IM 2021},\n  title     = {sfc2cpu: Operating a Service Function Chain Platform with Neural Combinatorial Optimization},\n  year      = {2021},\n  address   = {Bordeaux, France},\n  month     = may,\n  pages     = {1 96-- 205},\n  publisher = {IEEE},\n}\n\n
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\n \n\n \n \n \n \n \n Enabling SDN Hypervisor Provisioning through Accurate CPU Utilization Prediction.\n \n \n \n\n\n \n Deric, N.; Varasteh, A.; Van Bemten, A.; Blenk, A.; and Kellerer, W.\n\n\n \n\n\n\n IEEE Transactions on Network and Service Management, 18(2): 1360-1374. February 2021.\n \n\n\n\n
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@Article{10.1109/TNSM.2021.3059366,\n  author   = {Deric, Nemanja and Varasteh, Amir and Van Bemten, Amaury and Blenk, Andreas and Kellerer, Wolfgang},\n  journal  = {IEEE Transactions on Network and Service Management},\n  title    = {Enabling SDN Hypervisor Provisioning through Accurate CPU Utilization Prediction},\n  year     = {2021},\n  month    = feb,\n  number   = {2},\n  pages    = {1360-1374},\n  volume   = {18},\n  doi      = {10.1109/TNSM.2021.3059366},\n  keywords = {habil},\n  publisher = {IEEE},\n}\n\n
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\n \n\n \n \n \n \n \n Modeling the Cost of Flexibility in Communication Networks.\n \n \n \n\n\n \n Martínez Alba, A.; Babarczi, P.; Blenk, A.; He, M.; Krämer, P.; Zerwas, J.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IEEE INFOCOM, pages 1 – 10, Vancouver, BC, Canada, May 2021. IEEE\n \n\n\n\n
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@InProceedings{martinezalba2021,\n  author    = {Martínez Alba, Alberto and Babarczi, Péter and Blenk, Andreas and He, Mu and Krämer, Patrick and Zerwas, Johannes and Kellerer, Wolfgang},\n  booktitle = {Proc. IEEE INFOCOM},\n  title     = {Modeling the Cost of Flexibility in Communication Networks},\n  year      = {2021},\n  address   = {Vancouver, BC, Canada},\n  month     = may,\n  pages     = {1 -- 10},\n  publisher = {IEEE},\n  abstract  = {Communication networks are evolving towards a more adaptive and reconfigurable nature due to the evergrowing demands they face. A framework for measuring network flexibility has been proposed recently, but the cost of rendering communication networks more flexible has not yet been mathematically modeled. As new technologies such as software-defined networking (SDN), network function virtualization (NFV), or network virtualization (NV) emerge to provide network flexibility, a way to estimate and compare the cost of different implementation options is needed. In this paper, we present a comprehensive model of the cost of a flexible network that takes into account its transient and stationary phases. This allows network researchers and operators to not only qualitatively argue about their new flexible network solutions, but also to analyze their cost for the first time in a quantitative way.},\n  keywords  = {habil},\n}\n\n% 2020\n\n
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\n Communication networks are evolving towards a more adaptive and reconfigurable nature due to the evergrowing demands they face. A framework for measuring network flexibility has been proposed recently, but the cost of rendering communication networks more flexible has not yet been mathematically modeled. As new technologies such as software-defined networking (SDN), network function virtualization (NFV), or network virtualization (NV) emerge to provide network flexibility, a way to estimate and compare the cost of different implementation options is needed. In this paper, we present a comprehensive model of the cost of a flexible network that takes into account its transient and stationary phases. This allows network researchers and operators to not only qualitatively argue about their new flexible network solutions, but also to analyze their cost for the first time in a quantitative way.\n
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\n \n\n \n \n \n \n \n ARES: A Framework for Management of Aging and Rejuvenation in Softwarized Networks.\n \n \n \n\n\n \n Vizarreta, P.; Sieber, C.; Blenk, A.; Van Bemten, A.; Ramachandra, V.; Kellerer, W.; Mas-Machuca, C.; and Trivedi, K.\n\n\n \n\n\n\n IEEE Transactions on Network and Service Management, 18(2): 1389-1400. October 2020.\n \n\n\n\n
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@Article{9222270,\n  author   = {Vizarreta, Petra and Sieber, Christian and Blenk, Andreas and Van Bemten, Amaury and Ramachandra, Vinod and Kellerer, Wolfgang and Mas-Machuca, Carmen and Trivedi, Kishor},\n  journal  = {IEEE Transactions on Network and Service Management},\n  title    = {ARES: A Framework for Management of Aging and Rejuvenation in Softwarized Networks},\n  year     = {2020},\n   month     = oct,\n  number    = {2},\n  pages     = {1389-1400},\n  volume    = {18},\n  doi       = {10.1109/TNSM.2020.3030589},\n  keywords  = {habil, ownJournal},\n  publisher = {IEEE},\n}\n\n
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\n \n\n \n \n \n \n \n Chameleon: Predictable Latency and High Utilization with Queue-Aware and Adaptive Source Routing.\n \n \n \n\n\n \n Van Bemten, A.; Deric, N.; Varasteh, A.; Schmid, S.; Mas Machuca, C.; Blenk, A.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. ACM CoNEXT, pages 451–465, December 2020. ACM\n \n\n\n\n
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@InProceedings{chameleon2020,\n  author    = {Van Bemten, Amaury and Deric,Nemanja and Varasteh,Amir and Schmid,Stefan and Mas Machuca,Carmen and Blenk,Andreas and Kellerer,Wolfgang},\n  booktitle = {Proc. ACM CoNEXT},\n  title     = {Chameleon: Predictable Latency and High Utilization with Queue-Aware and Adaptive Source Routing},\n  year      = {2020},\n  month     = dec,\n  pages     = {451–465},\n  publisher = {ACM},\n  doi       = {10.1145/3386367.3432879},\n  keywords  = {habil},\n  location  = {Barcelona, Spain},\n}\n\n
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\n \n\n \n \n \n \n \n Alert-Based Network Reconfiguration and Data Evacuation.\n \n \n \n\n\n \n Tornatore, M.; Babarczi, P.; Ayoub, O.; Ferdousi, S.; Lourenco, R.; Zerwas, J.; Blenk, A.; Klügel, M.; and Kellerer, W.\n\n\n \n\n\n\n In Computer Communications and Networks, pages 353–377. Springer International Publishing, July 2020.\n \n\n\n\n
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@InCollection{10.1007/978-3-030-44685-7_14,\n  author    = {Tornatore, Massimo and Babarczi, Péter and Ayoub, Omran and Ferdousi, Sifat and Lourenco, Rafael and Zerwas, Johannes and Blenk, Andreas and Klügel, Markus and Kellerer, Wolfgang},\n  booktitle = {Computer Communications and Networks},\n  publisher = {Springer International Publishing},\n  title     = {Alert-Based Network Reconfiguration and Data Evacuation},\n  year      = {2020},\n  isbn      = {97830304468409783030446857},\n  month     = jul,\n  pages     = {353--377},\n  doi       = {10.1007/978-3-030-44685-7_14},\n  keywords  = {habil},\n}\n\n
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\n \n\n \n \n \n \n \n A mathematical framework for measuring network flexibility.\n \n \n \n\n\n \n Babarczi, P.; Klügel, M.; Martínez Alba, A.; He, M.; Zerwas, J.; Kalmbach, P.; Blenk, A.; and Kellerer, W.\n\n\n \n\n\n\n Computer Communications, 164: 13-24. December 2020.\n \n\n\n\n
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@Article{10.1016/j.comcom.2020.09.014,\n  author   = {Babarczi, Péter and Klügel, Markus and Martínez Alba, Alberto and He, Mu and Zerwas, Johannes and Kalmbach, Patrick and Blenk, Andreas and Kellerer, Wolfgang},\n  journal  = {Computer Communications},\n  title    = {A mathematical framework for measuring network flexibility},\n  year     = {2020},\n  month    = dec,\n  pages    = {13-24},\n  volume   = {164},\n  doi      = {10.1016/j.comcom.2020.09.014},\n  keywords = {habil},\n}\n\n% 2019\n\n
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\n \n\n \n \n \n \n \n \n Scalable Application- and User-Aware Resource Allocation in Enterprise Networks Using End-Host Pacing.\n \n \n \n \n\n\n \n Sieber, C.; Schwarzmann, S.; Blenk, A.; Zinner, T.; and Kellerer, W.\n\n\n \n\n\n\n ACM Trans. Model. Perform. Eval. Comput. Syst., 0(ja). 2020.\n \n\n\n\n
\n\n\n\n \n \n \"ScalablePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Sieber,\n  author    = {Sieber, Christian and Schwarzmann, Susanna and Blenk, Andreas and Zinner, Thomas and Kellerer, Wolfgang},\n  journal   = {ACM Trans. Model. Perform. Eval. Comput. Syst.},\n  title     = {Scalable Application- and User-Aware Resource Allocation in Enterprise Networks Using End-Host Pacing},\n  year      = {2020},\n  issn      = {2376-3639},\n  number    = {ja},\n  volume    = {0},\n  address   = {New York, NY, USA},\n  doi       = {10.1145/3381996},\n  keywords  = {ownJournal, habil},\n  numpages  = {1},\n  publisher = {Association for Computing Machinery},\n  url       = {https://doi.org/10.1145/3381996},\n}\n\n
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\n  \n 2019\n \n \n (14)\n \n \n
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\n \n\n \n \n \n \n \n NetBOA: Self-Driving Network Benchmarking.\n \n \n \n\n\n \n Zerwas, J.; Kalmbach, P.; Henkel, L.; Rétvári, G.; Kellerer, W.; Blenk, A.; and Schmid, S.\n\n\n \n\n\n\n In Proc. Workshop on Network Meets AI & ML (NetAI’19), pages 1-7, 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Zerwas2019a,\n  author    = {Zerwas, Johannes and Kalmbach, Patrick and Henkel, Laurenz and R{\\'e}tv{\\'a}ri, G{\\'a}bor and Kellerer, Wolfgang and Blenk, Andreas and Schmid, Stefan},\n  booktitle = {Proc. Workshop on Network Meets AI \\& ML (NetAI’19)},\n  title     = {NetBOA: Self-Driving Network Benchmarking},\n  year      = {2019},\n  pages     = {1-7},\n  keywords  = {ownConference, habil},\n}\n\n
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\n \n\n \n \n \n \n \n Loko: Predictable latency in small networks.\n \n \n \n\n\n \n Van Bemten, A.; Ðeric, N.; Zerwas, J.; Blenk, A.; Schmid, S.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. 15th ACM International on Conference on Emerging Networking Experiments and Technologies (CoNEXT). ACM, 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{van2019loko,\n  author    = {Van Bemten, Amaury and {\\DH}eric, Nemanja and Zerwas, Johannes and Blenk, Andreas and Schmid, Stefan and Kellerer, Wolfgang},\n  booktitle = {Proc. 15th ACM International on Conference on Emerging Networking Experiments and Technologies (CoNEXT). ACM},\n  title     = {Loko: Predictable latency in small networks},\n  year      = {2019},\n  keywords  = {ownConference, habil},\n}\n\n
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\n \n\n \n \n \n \n \n Adaptable and Data-Driven Softwarized Networks: Review, Opportunities, and Challenges.\n \n \n \n\n\n \n Kellerer, W.; Kalmbach, P.; Blenk, A.; Basta, A.; Reisslein, M.; and Schmid, S.\n\n\n \n\n\n\n Proceedings of the IEEE, 107(4): 711–731. April 2019.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@Article{Kellerer2019,\n  author     = {Kellerer, W. and Kalmbach, P. and Blenk, A. and Basta, A. and Reisslein, M. and Schmid, S.},\n  journal    = {Proceedings of the IEEE},\n  title      = {Adaptable and {Data}-{Driven} {Softwarized} {Networks}: {Review}, {Opportunities}, and {Challenges}},\n  year       = {2019},\n  issn       = {0018-9219},\n  month      = apr,\n  number     = {4},\n  pages      = {711--731},\n  volume     = {107},\n  abstract   = {Communication networks are the key enabling technology for our digital society. In order to sustain their critical services in the future, communication networks need to flexibly accommodate new requirements and changing contexts due to emerging diverse applications. In contrast to traditional networking technologies, software-oriented networking concepts, such as software-defined networking (SDN) and network function virtualization (NFV), provide ample opportunities for highly flexible network operations, enabling fast and simple adaptation of network resources and flows. This paper identifies the opportunities and challenges of adaptable softwarized networks and introduces a conceptual framework for adaptations in softwarized networks. We first explain how softwarized networks contribute to network adaptability through the functional primitives observation, composition, and control. We review the wide range of options for fine-granular observations as well as fine-granular composition and control provided by SDN and NFV. The multitude of fine-granular “tuning knobs” in adaptable softwarized networks complicates the decision making, which is the main focus of this paper. We propose to enhance the functional primitives observation, composition, and control with data-driven decision making, e.g., machine learning modules, resulting in deep observation, composition, and control. The data-driven decision making modules can learn and react to changes in the environment, e.g., new flow demands, so as to support meaningful decision making for adaptation in softwarized networks. Finally, we make the case for employing the concept of empowerment to realize truly “self-driving” networks.},\n  doi        = {10.1109/JPROC.2019.2895553},\n  file       = {2019_Kellerer et al_Adaptable and Data-Driven Softwarized Networks.pdf:/home/andi/Nextcloud/Zotero/Proceedings of the IEEE/2019/2019_Kellerer et al_Adaptable and Data-Driven Softwarized Networks.pdf:application/pdf;IEEE Xplore Abstract Record:/home/andi/Zotero/storage/MHND4CWM/8653330.html:text/html},\n  keywords   = {ownJournal, habil},\n  shorttitle = {Adaptable and {Data}-{Driven} {Softwarized} {Networks}},\n}\n\n
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\n Communication networks are the key enabling technology for our digital society. In order to sustain their critical services in the future, communication networks need to flexibly accommodate new requirements and changing contexts due to emerging diverse applications. In contrast to traditional networking technologies, software-oriented networking concepts, such as software-defined networking (SDN) and network function virtualization (NFV), provide ample opportunities for highly flexible network operations, enabling fast and simple adaptation of network resources and flows. This paper identifies the opportunities and challenges of adaptable softwarized networks and introduces a conceptual framework for adaptations in softwarized networks. We first explain how softwarized networks contribute to network adaptability through the functional primitives observation, composition, and control. We review the wide range of options for fine-granular observations as well as fine-granular composition and control provided by SDN and NFV. The multitude of fine-granular “tuning knobs” in adaptable softwarized networks complicates the decision making, which is the main focus of this paper. We propose to enhance the functional primitives observation, composition, and control with data-driven decision making, e.g., machine learning modules, resulting in deep observation, composition, and control. The data-driven decision making modules can learn and react to changes in the environment, e.g., new flow demands, so as to support meaningful decision making for adaptation in softwarized networks. Finally, we make the case for employing the concept of empowerment to realize truly “self-driving” networks.\n
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\n \n\n \n \n \n \n \n On The Impact of the Network Hypervisor on Virtual Network Performance.\n \n \n \n\n\n \n Blenk, A.; Basta, A.; Kellerer, W.; and Schmid, S.\n\n\n \n\n\n\n In Proc. IFIP Networking, pages 1–9, May 2019. IFIP/IEEE\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Blenk2019,\n  author    = {Blenk, Andreas and Basta, Arsany and Kellerer, Wolfgang and Schmid, Stefan},\n  booktitle = {Proc. IFIP Networking},\n  title     = {On The Impact of the Network Hypervisor on Virtual Network Performance},\n  year      = {2019},\n  month     = may,\n  pages     = {1--9},\n  publisher = {IFIP/IEEE},\n  keywords  = {ownConference, habil},\n}\n\n
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\n \n\n \n \n \n \n \n Ismael: Using Machine Learning To Predict Acceptance of Virtual Clusters in Data Centers.\n \n \n \n\n\n \n Zerwas, J.; Kalmbach, P.; Schmid, S.; and Blenk, A.\n\n\n \n\n\n\n IEEE Trans. Netw. Serv. Manage.,1-1. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Zerwas2019b,\n  author   = {J. {Zerwas} and P. {Kalmbach} and S. {Schmid} and A. {Blenk}},\n  journal  = {IEEE Trans. Netw. Serv. Manage.},\n  title    = {Ismael: Using Machine Learning To Predict Acceptance of Virtual Clusters in Data Centers},\n  year     = {2019},\n  issn     = {1932-4537},\n  pages    = {1-1},\n  doi      = {10.1109/TNSM.2019.2927291},\n  keywords = {ownJournal, habil},\n}\n\n
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\n \n\n \n \n \n \n \n NOracle: Who is communicating with whom in my network?.\n \n \n \n\n\n \n Kalmbach, P.; Hock, D.; Lipp, F.; Kellerer, W.; and Blenk, A.\n\n\n \n\n\n\n In Proc. ACM SIGCOMM Poster and Demos '19, pages 1–3, Beijing, China, August 2019. ACM\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@InProceedings{kalmbach_noracle:_2019,\n  author    = {Kalmbach, Patrick and Hock, David and Lipp, Fabian and Kellerer, Wolfgang and Blenk, Andreas},\n  booktitle = {Proc. {ACM} {SIGCOMM} {Poster} and {Demos} '19},\n  title     = {{NOracle}: {Who} is communicating with whom in my network?},\n  year      = {2019},\n  address   = {Beijing, China},\n  month     = aug,\n  pages     = {1--3},\n  publisher = {ACM},\n  abstract  = {This demo presents NOracle: a system using Stochastic Block Models (SBMs) to infer structural roles of hosts and communication patterns of services in networks. NOracle can be used with existing monitoring systems to analyze and visualize networks in an online manner or be used to analyze stored traces. Network operators can use SBMs to monitor and verify network operation, detect possible security issues and change-points. To showcase this, NOracle combines the production-grade network management solution StableNet with an SBM based anomaly detection and network visualization module. StableNet provides network flow statistics in real-time from actual devices. The SBM extracts roles and communication patterns live from the real-time data. The result can help to reason about communication behaviors, detect anomalous hosts and indicate changes in the large scale-structure of network communication.},\n  file      = {Kalmbach et al. - NOracle Who is communicating with whom in my netw.pdf:/home/andi/Zotero/storage/MV7H6TP3/Kalmbach et al. - NOracle Who is communicating with whom in my netw.pdf:application/pdf},\n  keywords  = {ownConference, habil},\n  language  = {en},\n}\n\n
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\n This demo presents NOracle: a system using Stochastic Block Models (SBMs) to infer structural roles of hosts and communication patterns of services in networks. NOracle can be used with existing monitoring systems to analyze and visualize networks in an online manner or be used to analyze stored traces. Network operators can use SBMs to monitor and verify network operation, detect possible security issues and change-points. To showcase this, NOracle combines the production-grade network management solution StableNet with an SBM based anomaly detection and network visualization module. StableNet provides network flow statistics in real-time from actual devices. The SBM extracts roles and communication patterns live from the real-time data. The result can help to reason about communication behaviors, detect anomalous hosts and indicate changes in the large scale-structure of network communication.\n
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\n \n\n \n \n \n \n \n Flexibility in Softwarized Networks: Classifications and Research Challenges.\n \n \n \n\n\n \n He, M.; Alba, A. M.; Basta, A.; Blenk, A.; and Kellerer, W.\n\n\n \n\n\n\n IEEE Commun. Surveys & Tutorials, 21(3): 2600-2636. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{He2019,\n  author   = {M. {He} and A. M. {Alba} and A. {Basta} and A. {Blenk} and W. {Kellerer}},\n  journal  = {IEEE Commun. Surveys \\& Tutorials},\n  title    = {Flexibility in Softwarized Networks: Classifications and Research Challenges},\n  year     = {2019},\n  number   = {3},\n  pages    = {2600-2636},\n  volume   = {21},\n  keywords = {ownJournal, habil},\n}\n\n
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\n \n\n \n \n \n \n \n Towards Virtualization of Software-Defined Networks: A Journey in Three Acts.\n \n \n \n\n\n \n Blenk, A.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IFIP/IEEE Symposium on Integrated Network and Service Management (IM), pages 677-682, 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Blenk2019a,\n  author    = {A. {Blenk} and W. {Kellerer}},\n  booktitle = {Proc. IFIP/IEEE Symposium on Integrated Network and Service Management (IM)},\n  title     = {Towards Virtualization of Software-Defined Networks: A Journey in Three Acts},\n  year      = {2019},\n  pages     = {677-682},\n  keywords  = {ownConference, habil},\n}\n\n
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\n \n\n \n \n \n \n \n \n Toward Consistent State Management of Adaptive Programmable Networks Based on P4.\n \n \n \n \n\n\n \n He, M.; Blenk, A.; Kellerer, W.; and Schmid, S.\n\n\n \n\n\n\n In Proc. ACM SIGCOMM 2019 Workshop on Networking for Emerging Applications and Technologies, of NEAT’19, pages 29–35, New York, NY, USA, 2019. Association for Computing Machinery\n \n\n\n\n
\n\n\n\n \n \n \"TowardPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{He2019a,\n  author    = {He, Mu and Blenk, Andreas and Kellerer, Wolfgang and Schmid, Stefan},\n  booktitle = {Proc. ACM SIGCOMM 2019 Workshop on Networking for Emerging Applications and Technologies},\n  title     = {Toward Consistent State Management of Adaptive Programmable Networks Based on P4},\n  year      = {2019},\n  address   = {New York, NY, USA},\n  pages     = {29–35},\n  publisher = {Association for Computing Machinery},\n  series    = {NEAT’19},\n  doi       = {10.1145/3341558.3342202},\n  isbn      = {9781450368766},\n  keywords  = {ownConference, habil},\n  location  = {Beijing, China},\n  numpages  = {7},\n  url       = {https://doi.org/10.1145/3341558.3342202},\n}\n\n
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\n \n\n \n \n \n \n \n \n Adversarial Network Algorithm Benchmarking.\n \n \n \n \n\n\n \n Lettner, S.; and Blenk, A.\n\n\n \n\n\n\n In Proc. 15th International Conference on Emerging Networking EXperiments and Technologies, of CoNEXT ’19, pages 31–33, New York, NY, USA, 2019. Association for Computing Machinery\n \n\n\n\n
\n\n\n\n \n \n \"AdversarialPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Lettner2019,\n  author    = {Lettner, Sebastian and Blenk, Andreas},\n  booktitle = {Proc. 15th International Conference on Emerging Networking EXperiments and Technologies},\n  title     = {Adversarial Network Algorithm Benchmarking},\n  year      = {2019},\n  address   = {New York, NY, USA},\n  pages     = {31–33},\n  publisher = {Association for Computing Machinery},\n  series    = {CoNEXT ’19},\n  doi       = {10.1145/3360468.3366779},\n  isbn      = {9781450370066},\n  keywords  = {ownConference, habil},\n  location  = {Orlando, FL, USA},\n  numpages  = {3},\n  url       = {https://doi.org/10.1145/3360468.3366779},\n}\n\n
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\n \n\n \n \n \n \n \n Empirical Predictability Study of SDN Switches.\n \n \n \n\n\n \n van Bemten , A.; Ðerić, N.; Varasteh, A.; Blenk, A.; Schmid, S.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS), pages 1-13, 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@InProceedings{vanBemten2019,\n  author    = {A. {van Bemten} and N. {Ðerić} and A. {Varasteh} and A. {Blenk} and S. {Schmid} and W. {Kellerer}},\n  booktitle = {Proc. ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS)},\n  title     = {Empirical Predictability Study of SDN Switches},\n  year      = {2019},\n  pages     = {1-13},\n  keywords  = {ownConference, habil},\n}\n\n
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\n \n\n \n \n \n \n \n Coupling VNF Orchestration and SDN Virtual Network Reconfiguration.\n \n \n \n\n\n \n Đerić, N.; Varasteh, A.; Basta, A.; Blenk, A.; Pries, R.; Jarschel, M.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. International Conference on Networked Systems (NetSys), pages 1-3, 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Deric2019,\n  author    = {N. {Đerić} and A. {Varasteh} and A. {Basta} and A. {Blenk} and R. {Pries} and M. {Jarschel} and W. {Kellerer}},\n  booktitle = {Proc. International Conference on Networked Systems (NetSys)},\n  title     = {Coupling VNF Orchestration and SDN Virtual Network Reconfiguration},\n  year      = {2019},\n  pages     = {1-3},\n  keywords  = {ownConference, habil},\n}\n\n
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\n \n\n \n \n \n \n \n GPU Accelerated Planning and Placement of Edge Clouds.\n \n \n \n\n\n \n Kalmbach, P.; Blenk, A.; Kellerer, W.; Pries, R.; Jarschel, M.; and Hoffmann, M.\n\n\n \n\n\n\n In Proc. International Conference on Networked Systems (NetSys), pages 1-3, 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Kalmbach2019,\n  author    = {P. {Kalmbach} and A. {Blenk} and W. {Kellerer} and R. {Pries} and M. {Jarschel} and M. {Hoffmann}},\n  booktitle = {Proc. International Conference on Networked Systems (NetSys)},\n  title     = {GPU Accelerated Planning and Placement of Edge Clouds},\n  year      = {2019},\n  pages     = {1-3},\n  keywords  = {ownConference, habil},\n}\n\n
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\n \n\n \n \n \n \n \n Toward Optimal Mobility-Aware VM Placement and Routing in Space-Air-Ground Integrated Networks.\n \n \n \n\n\n \n Varasteh, A.; Hofmann, S.; Deric, N.; Blenk, A.; Schupke, D.; Kellerer, W.; and Machuca, C. M.\n\n\n \n\n\n\n In Proc. IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), pages 1-2, 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Varasteh2019,\n  author    = {A. {Varasteh} and S. {Hofmann} and N. {Deric} and A. {Blenk} and D. {Schupke} and W. {Kellerer} and C. M. {Machuca}},\n  booktitle = {Proc. IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)},\n  title     = {Toward Optimal Mobility-Aware VM Placement and Routing in Space-Air-Ground Integrated Networks},\n  year      = {2019},\n  pages     = {1-2},\n  keywords  = {ownConference, habil},\n}\n\n
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\n  \n 2018\n \n \n (13)\n \n \n
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\n \n\n \n \n \n \n \n NeuroViNE: A Neural Preprocessor for Your Virtual Network Embedding Algorithm.\n \n \n \n\n\n \n Blenk, A.; Kalmbach, P.; Zerwas, J.; Jarschel, M.; Schmid, S.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IEEE INFOCOM, pages 1-9, April 2018. IEEE\n \n\n\n\n
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@InProceedings{Blenk2017a,\n  author    = {Blenk, Andreas and Kalmbach, Patrick and Zerwas, Johannes and Jarschel, Michael and Schmid, Stefan and Kellerer, Wolfgang},\n  title     = {{NeuroViNE: A Neural Preprocessor for Your Virtual Network Embedding Algorithm}},\n  booktitle = {Proc. IEEE INFOCOM},\n  year      = {2018},\n  pages     = {1-9},\n  month     = apr,\n  pages     = {1-9},\n  publisher = {IEEE},\n  keywords  = {ownConference},\n  location  = {Honolulu, HI, USA},\n}\n\n
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\n \n\n \n \n \n \n \n Efficient Loop-Free Rerouting of Multiple SDN Flows.\n \n \n \n\n\n \n Basta, A.; Blenk, A.; Dudycz, S.; Ludwig, A.; and Schmid, S.\n\n\n \n\n\n\n IEEE/ACM Trans. on Netw. (ToN), 26(2): 948-961. April 2018.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n\n\n\n
\n 
@Article{Basta2018,\n  author    = {Basta, Arsany and Blenk, Andreas and Dudycz, Szymon and Ludwig, Arne and Schmid, Stefan},\n  title     = {Efficient Loop-Free Rerouting of Multiple {SDN} Flows},\n  journal   = {IEEE/ACM Trans. on Netw. (ToN)},\n  year      = {2018},\n  volume    = {26},\n  number    = {2},\n  pages     = {948-961},\n  month     = apr,\n  issn      = {1063-6692},\n  booktitle = {Proc. {IEEE}/{ACM} Trans. on Netw. ({ToN})},\n  doi       = {10.1109/TNET.2018.2810640},\n  keywords  = {ownJournal, IEEE transactions;Internet;Routing;Schedules;Switches;Communication networks;scheduling algorithms;software-defined networks},\n}\n\n
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\n \n\n \n \n \n \n \n Ahab: Data-Driven Virtual Cluster Hunting.\n \n \n \n\n\n \n Zerwas, J.; Kalmbach, P.; Fuerst, C.; Ludwig, A.; Blenk, A.; Kellerer, W.; and Schmid, S.\n\n\n \n\n\n\n In Proc. IFIP Networking, pages 1-9, Zurich, Switzerland, May 2018. \n \n\n\n\n
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@InProceedings{Zerwas2018,\n  author    = {Zerwas, Johannes and Kalmbach, Patrick and Fuerst, Carlo and Ludwig, Arne and Blenk, Andreas and Kellerer, Wolfgang and Schmid, Stefan},\n  title     = {Ahab: Data-Driven Virtual Cluster Hunting},\n  booktitle = {Proc. IFIP Networking},\n  year      = {2018},\n  pages     = {1-9},\n  address   = {Zurich, Switzerland},\n  month     = may,\n  keywords  = {ownConference},\n}\n\n
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\n \n\n \n \n \n \n \n Themis: A Data-Driven Approach to Bot Detection (Short Abstract).\n \n \n \n\n\n \n Kalmbach, P.; Blenk, A.; Kellerer, W.; and Schmid, S.\n\n\n \n\n\n\n In Proc. IEEE INFOCOM, pages 1-2, 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@InProceedings{Kalmbach2018,\n  author    = {Kalmbach, Patrick and Blenk, Andreas and Kellerer, Wolfgang and Schmid, Stefan},\n  title     = {Themis: A Data-Driven Approach to Bot Detection (Short Abstract)},\n  booktitle = {Proc. IEEE INFOCOM},\n  year      = {2018},\n  pages     = {1-2},\n  keywords  = {ownConference},\n  location  = {Honolulu, HI, USA},\n}\n\n
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\n \n\n \n \n \n \n \n How to Measure Network Flexibility? - A Proposal for Evaluating Softwarized Networks.\n \n \n \n\n\n \n Kellerer, W.; Basta, A.; Babarczi, P.; Blenk, A.; He, M.; Kluegel, M.; and Martínez Alba, A.\n\n\n \n\n\n\n IEEE Commun. Mag., PP(99): 2-8. 2018.\n \n\n\n\n
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@Article{Kellerer2017,\n  author   = {Kellerer, Wolfgang and Basta, Arsany and Babarczi, Péter and Blenk, Andreas and He, Mu and Kluegel, Markus and {Martínez Alba}, Alberto},\n  title    = {How to Measure Network Flexibility? - A Proposal for Evaluating Softwarized Networks},\n  journal  = {IEEE Commun. Mag.},\n  year     = {2018},\n  volume   = {PP},\n  number   = {99},\n  pages    = {2-8},\n  issn     = {0163-6804},\n  doi      = {10.1109/MCOM.2018.1700601},\n  keywords = {ownJournal},\n}\n\n
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\n \n\n \n \n \n \n \n Big-Data Helps SDN to Improve Application Specific Quality of Service.\n \n \n \n\n\n \n Schwarzmann, S.; Blenk, A.; Dobrijevic, O.; Jarschel, M.; Hotho, A.; Zinner, T.; and Wamser, F.\n\n\n \n\n\n\n In Taheri, J., editor(s), Big Data and Software Defined Networks, pages 433-455. The Institution of Engineering and Technology (IET), January 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@incollection{Schwarzmann2018,\n\tauthor = {Schwarzmann, Susanna and Blenk, Andreas and Dobrijevic, Ognjen and Jarschel, Michael and Hotho, Andreas and Zinner, Thomas and Wamser, Florian},\n\tbooktitle = {Big Data and Software Defined Networks},\n\teditor = {Taheri, Javid},\n\tisbn = {978-1-78561-304-3},\n\tkeywords = {ownBookchapter},\n\tmonth = jan,\n\tpages = {433-455},\n\tpublisher = {The Institution of Engineering and Technology (IET)},\n\ttitle = {Big-Data Helps SDN to Improve Application Specific Quality of Service},\n\tyear = {2018}\n}\n\n
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\n \n\n \n \n \n \n \n Empowering Self-Driving Networks.\n \n \n \n\n\n \n Kalmbach, P.; Zerwas, J.; Blenk, A.; Kellerer, W.; and Schmid, S.\n\n\n \n\n\n\n In Proc. ACM SIGCOMM Workshop on Self-Driving Networks (SelfDN), pages 1-6, 2018. \n accepted for publication\n\n\n\n
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@InProceedings{Kalmbach2018a,\n  author    = {Kalmbach, Patrick and Zerwas, Johannes and Blenk, Andreas and Kellerer, Wolfgang and Schmid, Stefan},\n  title     = {Empowering Self-Driving Networks},\n  booktitle = {Proc. ACM SIGCOMM Workshop on Self-Driving Networks (SelfDN)},\n  year      = {2018},\n  pages     = {1-6},\n  note      = {accepted for publication},\n  keywords  = {ownConference},\n  location  = {Budapest, Hungary},\n}\n\n
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\n \n\n \n \n \n \n \n Assessing the Maturity of SDN Controllers With Software Reliability Growth Models.\n \n \n \n\n\n \n Vizarreta, P.; Trivedi, K.; Helvik, B.; Heegaard, P.; Blenk, A.; Kellerer, W.; and Machuca, C. M.\n\n\n \n\n\n\n IEEE Trans. on Netw. and Serv. Manage., 15(3): 1090-1104. Sept 2018.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
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@Article{Vizarreta2018,\n  author   = {P. Vizarreta and K. Trivedi and B. Helvik and P. Heegaard and A. Blenk and W. Kellerer and C. Mas Machuca},\n  journal  = {IEEE Trans. on Netw. and Serv. Manage.},\n  title    = {Assessing the Maturity of SDN Controllers With Software Reliability Growth Models},\n  year     = {2018},\n  issn     = {1932-4537},\n  month    = {Sept},\n  number   = {3},\n  pages    = {1090-1104},\n  volume   = {15},\n  doi      = {10.1109/TNSM.2018.2848105},\n  keywords = {Software;Software reliability;Computer bugs;Data models;Measurement;Predictive models;Software defined networking;SDN controller;ONOS;OpenDaylight;open source software;software maturity;software reliability;software reliability growth models, ownJournal, habil},\n}\n\n
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\n \n\n \n \n \n \n \n P4NFV: An NFV Architecture with Flexible Data Plane Reconfiguration.\n \n \n \n\n\n \n He, M.; Basta, A.; Blenk, A.; Deric, N.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. CNSM, Rome, Italy, 2018. \n \n\n\n\n
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@InProceedings{He2018,\n  author    = {He, Mu and Basta, Arsany and Blenk, Andreas and Deric, Nemanja and Kellerer, Wolfgang},\n  title     = {P4NFV: An NFV Architecture with Flexible Data Plane Reconfiguration},\n  booktitle = {Proc. CNSM},\n  year      = {2018},\n  address   = {Rome, Italy},\n  keywords  = {ownConference},\n}\n\n
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\n \n\n \n \n \n \n \n \n Perfbench: A Tool for Predictability Analysis in Multi-Tenant Software-Defined Networks.\n \n \n \n \n\n\n \n Blenk, A.; Basta, A.; Henkel, L.; Zerwas, J.; Kellerer, W.; and Schmid, S.\n\n\n \n\n\n\n In Proc. ACM SIGCOMM 2018 Conference on Posters and Demos, of SIGCOMM '18, pages 66–68, New York, NY, USA, 2018. ACM\n \n\n\n\n
\n\n\n\n \n \n \"Perfbench:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Blenk2018,\n  author    = {Blenk, Andreas and Basta, Arsany and Henkel, Laurenz and Zerwas, Johannes and Kellerer, Wolfgang and Schmid, Stefan},\n  title     = {Perfbench: A Tool for Predictability Analysis in Multi-Tenant Software-Defined Networks},\n  booktitle = {Proc. ACM SIGCOMM 2018 Conference on Posters and Demos},\n  year      = {2018},\n  series    = {SIGCOMM '18},\n  pages     = {66--68},\n  address   = {New York, NY, USA},\n  publisher = {ACM},\n  acmid     = {3234234},\n  doi       = {10.1145/3234200.3234234},\n  isbn      = {978-1-4503-5915-3},\n  keywords  = {Measurements, Multi-Tenancy, Network Slicing, OpenFlow, Performance, Virtual Networks, ownConference},\n  location  = {Budapest, Hungary},\n  numpages  = {3},\n  url       = {http://doi.acm.org/10.1145/3234200.3234234},\n}\n\n
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\n \n\n \n \n \n \n \n \n Modeling IP-to-IP Communication Using the Weighted Stochastic Block Model.\n \n \n \n \n\n\n \n Kalmbach, P.; Gleiter, L.; Zerwas, J.; Blenk, A.; Kellerer, W.; and Schmid, S.\n\n\n \n\n\n\n In Proc. ACM SIGCOMM 2018 Conference on Posters and Demos, of SIGCOMM '18, pages 48–50, New York, NY, USA, 2018. ACM\n \n\n\n\n
\n\n\n\n \n \n \"ModelingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Kalmbach2018b,\n  author    = {Kalmbach, Patrick and Gleiter, Lion and Zerwas, Johannes and Blenk, Andreas and Kellerer, Wolfgang and Schmid, Stefan},\n  title     = {Modeling IP-to-IP Communication Using the Weighted Stochastic Block Model},\n  booktitle = {Proc. ACM SIGCOMM 2018 Conference on Posters and Demos},\n  year      = {2018},\n  series    = {SIGCOMM '18},\n  pages     = {48--50},\n  address   = {New York, NY, USA},\n  publisher = {ACM},\n  acmid     = {3234245},\n  doi       = {10.1145/3234200.3234245},\n  isbn      = {978-1-4503-5915-3},\n  keywords  = {Data Analysis, Network Monitoring, Stochastic Block Model, ownConference},\n  location  = {Budapest, Hungary},\n  numpages  = {3},\n  url       = {http://doi.acm.org/10.1145/3234200.3234245},\n}\n\n
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\n \n\n \n \n \n \n \n Network Algorithms Ex Machina: Towards Self-Driving Networks.\n \n \n \n\n\n \n Blenk, A.; Kalmbach, P.; Zerwas, J.; Kellerer, W.; and Schmid, S.\n\n\n \n\n\n\n Poster for 13th Cloud Control Workshop, Skåvsjöholm, Schweden, 2018.\n \n\n\n\n
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@Misc{Blenk2018a,\n  author       = {Blenk, Andreas and Kalmbach, Patrick and Zerwas, Johannes and Kellerer, Wolfgang and Schmid, Stefan},\n  title        = {Network Algorithms Ex Machina: Towards Self-Driving Networks},\n  howpublished = {Poster for 13th Cloud Control Workshop, Skåvsjöholm, Schweden},\n  year         = {2018},\n  keywords     = {ownReports},\n}\n\n
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\n \n\n \n \n \n \n \n SDN Hypervisors: How Much Does Topology Abstraction Matter?.\n \n \n \n\n\n \n Đerić, N.; Varasteh, A.; Basta, A.; Blenk, A.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. 14th International Conference on Network and Service Management (CNSM), pages 328-332, 2018. \n \n\n\n\n
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@InProceedings{Deric2018,\n  author    = {N. {Đerić} and A. {Varasteh} and A. {Basta} and A. {Blenk} and W. {Kellerer}},\n  booktitle = {Proc. 14th International Conference on Network and Service Management (CNSM)},\n  title     = {SDN Hypervisors: How Much Does Topology Abstraction Matter?},\n  year      = {2018},\n  pages     = {328-332},\n  keywords  = {ownConference},\n}\n\n
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\n  \n 2017\n \n \n (8)\n \n \n
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\n \n\n \n \n \n \n \n \n o'zapft is: Tap Your Network Algorithm`s Big Data!.\n \n \n \n \n\n\n \n Blenk, A.; Kalmbach, P.; Schmid, S.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. ACM SIGCOMM Workshop Big-DAMA, of Big-DAMA '17, pages 19-24, August 2017. ACM\n \n\n\n\n
\n\n\n\n \n \n \"o'zapftPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 5 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Blenk2017,\n  author    = {Blenk, Andreas and Kalmbach, Patrick and Schmid, Stefan and Kellerer, Wolfgang},\n  title     = {o'zapft is: Tap Your Network Algorithm`s Big Data!},\n  booktitle = {Proc. ACM SIGCOMM Workshop Big-DAMA},\n  year      = {2017},\n  series    = {Big-DAMA '17},\n  pages     = {19-24},\n  month     = aug,\n  publisher = {ACM},\n  acmid     = {3098597},\n  doi       = {10.1145/3098593.3098597},\n  isbn      = {978-1-4503-5054-9},\n  keywords  = {ownConference, Algorithms, Big Data, Computer Networks, Machine Learning},\n  location  = {Los Angeles, CA, USA},\n  numpages  = {6},\n  url       = {http://doi.acm.org/10.1145/3098593.3098597},\n}\n\n
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\n \n\n \n \n \n \n \n Generating Synthetic Internet- and IP-Topologies using the Stochastic-Block-Model.\n \n \n \n\n\n \n Kalmbach, P.; Blenk, A.; Klügel, M.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IFIP/IEEE Int. Workshop on Analytics for Netw. and Serv. Manage. (AnNet), pages 911-916, Lisbon, Portugal, May 2017. \n \n\n\n\n
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@InProceedings{Kalmbach2017,\n  author    = {Kalmbach, Patrick and Blenk, Andreas and Klügel, Markus and Kellerer, Wolfgang},\n  title     = {Generating Synthetic Internet- and IP-Topologies using the Stochastic-Block-Model},\n  booktitle = {Proc. IFIP/IEEE Int. Workshop on Analytics for Netw. and Serv. Manage. (AnNet)},\n  year      = {2017},\n  pages     = {911-916},\n  address   = {Lisbon, Portugal},\n  month     = may,\n  doi       = {10.23919/INM.2017.7987411},\n  keywords  = {ownConference},\n  timestamp = {2017-04-25T09:12:48.000+0200},\n}\n\n
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\n \n\n \n \n \n \n \n How flexible is dynamic SDN control plane?.\n \n \n \n\n\n \n He, M.; Basta, A.; Blenk, A.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IEEE INFOCOM Workshop (INFOCOM WKSHPS), pages 689-694, April 2017. \n \n\n\n\n
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@InProceedings{He2016,\n  author    = {He, Mu and Basta, Arsany and Blenk, Andreas and Kellerer, Wolfgang},\n  title     = {How flexible is dynamic SDN control plane?},\n  booktitle = {Proc. IEEE INFOCOM Workshop (INFOCOM WKSHPS)},\n  year      = {2017},\n  pages     = {689-694},\n  month     = apr,\n  doi       = {10.1109/INFCOMW.2017.8116460},\n  keywords  = {ownConference},\n  location  = {Atlanta, GA, USA},\n}\n\n
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\n \n\n \n \n \n \n \n Algorithm-Data Driven Optimization of Adaptive Communication Networks.\n \n \n \n\n\n \n He, M.; Kalmbach, P.; Blenk, A.; Schmid, S.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IEEE ICNP Workshop on Machine Learning and Artificial Intelligence in Computer Networks, pages 1-6, Toronto, ON, Canada, October 2017. IEEE\n \n\n\n\n
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@InProceedings{He2017,\n  author    = {He, Mu and Kalmbach, Patrick and Blenk, Andreas and Schmid, Stefan and Kellerer, Wolfgang},\n  title     = {{Algorithm-Data Driven Optimization of Adaptive Communication Networks}},\n  booktitle = {Proc. IEEE ICNP Workshop on Machine Learning and Artificial Intelligence in Computer Networks},\n  year      = {2017},\n  pages     = {1-6},\n  address   = {Toronto, ON, Canada},\n  month     = oct,\n  publisher = {IEEE},\n  keywords  = {ownConference},\n}\n\n
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\n \n\n \n \n \n \n \n Towards a Cost Optimal Design for a 5G Mobile Core Network based on SDN and NFV.\n \n \n \n\n\n \n Basta, A.; Blenk, A.; Hoffmann, K.; Morper, H. J.; Hoffmann, M.; and Kellerer, W.\n\n\n \n\n\n\n IEEE Trans. on Netw. and Serv. Manage., 14(4): 1061-1075. December 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@Article{Basta2017a,\n  author   = {Basta, Arsany and Blenk, Andreas and Hoffmann, Klaus and Morper, Hans Jochen and Hoffmann, Marco and Kellerer, Wolfgang},\n  title    = {Towards a Cost Optimal Design for a 5G Mobile Core Network based on SDN and NFV},\n  journal  = {IEEE Trans. on Netw. and Serv. Manage.},\n  year     = {2017},\n  volume   = {14},\n  number   = {4},\n  pages    = {1061-1075},\n  month    = dec,\n  issn     = {1932-4537},\n  doi      = {10.1109/TNSM.2017.2732505},\n  keywords = {ownJournal},\n}\n\n
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\n \n\n \n \n \n \n \n \n Logically Isolated, Actually Unpredictable? Measuring Hypervisor Performance in Multi-Tenant SDNs.\n \n \n \n \n\n\n \n Basta, A.; Blenk, A.; Kellerer, W.; and Schmid, S.\n\n\n \n\n\n\n Computer Research Repository (CoRR),1-7. April 2017.\n \n\n\n\n
\n\n\n\n \n \n \"LogicallyPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@Article{Basta2017b,\n  author        = {Basta, Arsany and Blenk, Andreas and Kellerer, Wolfgang and Schmid, Stefan},\n  title         = {{Logically Isolated, Actually Unpredictable? Measuring Hypervisor Performance in Multi-Tenant SDNs}},\n  journal       = {Computer Research Repository (CoRR)},\n  year          = {2017},\n  pages         = {1-7},\n  month         = apr,\n  abstract      = {Ideally, by enabling multi-tenancy, network virtualization allows to improve resource utilization, while providing performance isolation: although the underlying resources are shared, the virtual network appears as a dedicated network to the tenant. However, providing such an illusion is challenging in practice, and over the last years, many expedient approaches have been proposed to provide performance isolation in virtual networks, by enforcing bandwidth reservations. We in this paper study another source for overheads and unpredictable performance in virtual networks: the hypervisor. The hypervisor is a critical component in multi-tenant environments, but its overhead and influence on performance are hardly understood today. In particular, we focus on OpenFlow-based virtualized Software Defined Networks (vSDNs). Network virtualization is considered a killer application for SDNs: a vSDN allows each tenant to flexibly manage its network from a logically centralized perspective, via a simple API. For the purpose of our study, we developed a new benchmarking tool for OpenFlow control and data planes, enabling high and consistent OpenFlow message rates. Using our tool, we identify and measure controllable and uncontrollable effects on performance and overhead, including the hypervisor technology, the number of tenants as well as the tenant type, as well as the type of OpenFlow messages.},\n  archiveprefix = {arXiv},\n  arxivid       = {1704.08958},\n  eprint        = {1704.08958},\n  file          = {/home/andi/Documents/Mendeley Desktop/Basta et al/2017 - Basta et al. - Logically Isolated, Actually Unpredictable Measuring Hypervisor Performance in Multi-Tenant SDNs.pdf},\n  keywords      = {ownReports},\n  url           = {http://arxiv.org/abs/1704.08958},\n}\n\n
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\n Ideally, by enabling multi-tenancy, network virtualization allows to improve resource utilization, while providing performance isolation: although the underlying resources are shared, the virtual network appears as a dedicated network to the tenant. However, providing such an illusion is challenging in practice, and over the last years, many expedient approaches have been proposed to provide performance isolation in virtual networks, by enforcing bandwidth reservations. We in this paper study another source for overheads and unpredictable performance in virtual networks: the hypervisor. The hypervisor is a critical component in multi-tenant environments, but its overhead and influence on performance are hardly understood today. In particular, we focus on OpenFlow-based virtualized Software Defined Networks (vSDNs). Network virtualization is considered a killer application for SDNs: a vSDN allows each tenant to flexibly manage its network from a logically centralized perspective, via a simple API. For the purpose of our study, we developed a new benchmarking tool for OpenFlow control and data planes, enabling high and consistent OpenFlow message rates. Using our tool, we identify and measure controllable and uncontrollable effects on performance and overhead, including the hypervisor technology, the number of tenants as well as the tenant type, as well as the type of OpenFlow messages.\n
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\n \n\n \n \n \n \n \n \n Data on ”o'zapft is: Tap Your Network Algorithm's Big Data!”.\n \n \n \n \n\n\n \n Kalmbach, P.; Zerwas, J.; Manhart, M.; Blenk, A.; Schmid, S.; and Kellerer, W.\n\n\n \n\n\n\n 2017.\n \n\n\n\n
\n\n\n\n \n \n \"DataPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@online{ozapftisdata,\n\tauthor = {Kalmbach, Patrick and Zerwas, Johannes and Manhart, Michael and Blenk, Andreas and Schmid, Stefan and Kellerer, Wolfgang},\n\tdoi = {10.14459/2017md1361589},\n\tkeywords = {ownData},\n\tlocation = {Munich},\n\torganization = {TUM},\n\ttitle = {Data on ”o'zapft is: Tap Your Network Algorithm's Big Data!”},\n\turl = {https://mediatum.ub.tum.de/1361589},\n\tyear = {2017}\n}\n\n
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\n \n\n \n \n \n \n \n Modeling flow setup time for controller placement in SDN: Evaluation for dynamic flows.\n \n \n \n\n\n \n He, M.; Basta, A.; Blenk, A.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IEEE ICC, pages 1-7, Paris, France, May 2017. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@InProceedings{He2017a,\n  author    = {He, Mu and Basta, Arsany and Blenk, Andreas and Kellerer, Wolfgang},\n  title     = {Modeling flow setup time for controller placement in SDN: Evaluation for dynamic flows},\n  booktitle = {Proc. IEEE ICC},\n  year      = {2017},\n  pages     = {1-7},\n  address   = {Paris, France},\n  month     = may,\n  doi       = {10.1109/ICC.2017.7996654},\n  keywords  = {ownConference},\n}\n\n
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\n  \n 2016\n \n \n (8)\n \n \n
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\n \n\n \n \n \n \n \n \n Control Plane Latency With SDN Network Hypervisors: The Cost of Virtualization.\n \n \n \n \n\n\n \n Blenk, A.; Basta, A.; Zerwas, J.; Reisslein, M.; and Kellerer, W.\n\n\n \n\n\n\n IEEE Trans. on Netw. and Serv. Manage., 13(3): 366-380. September 2016.\n \n\n\n\n
\n\n\n\n \n \n \"ControlPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@Article{Blenk2016b,\n  author    = {Blenk, Andreas and Basta, Arsany and Zerwas, Johannes and Reisslein, Martin and Kellerer, Wolfgang},\n  title     = {{Control Plane Latency With SDN Network Hypervisors: The Cost of Virtualization}},\n  journal   = {IEEE Trans. on Netw. and Serv. Manage.},\n  year      = {2016},\n  volume    = {13},\n  number    = {3},\n  pages     = {366-380},\n  month     = sep,\n  issn      = {1932-4537},\n  abstract  = {—Software defined networking (SDN) network hypervisors provide the functionalities needed for virtualizing software-defined networks. Hypervisors sit logically between the multiple virtual SDN networks (vSDNs), which reside on the underlying physical SDN network infrastructure, and the cor-responding tenant (vSDN) controllers. Different SDN network hypervisor architectures have mainly been explored through proof-of-concept implementations. We fundamentally advance SDN network hypervisor research by conducting a model-based analysis of SDN hypervisor architectures. Specifically, we intro-duce mixed integer programming formulations for four different SDN network hypervisor architectures. Our model formulations can also optimize the placement of multi-controller switches in virtualized OpenFlow-enabled SDN networks. We employ our models to quantitatively examine the optimal placement of the hypervisor instances. We compare the control plane latencies of the different SDN hypervisor architectures and quantify the cost of virtualization, i.e., the latency overhead due to virtualizing SDN networks via hypervisors. For generalization, we quantify how the hypervisor architectures behave for different network topologies. Our model formulations and the insights drawn from our evaluations inform network operators about the trade-offs of the different hypervisor architectures and help choosing an architecture according to operator demands. Index Terms—Integer linear program, network hypervisor architecture, network virtualization, software defined network-ing, virtual software defined network embedding.},\n  doi       = {10.1109/TNSM.2016.2587900},\n  file      = {/home/andi/Documents/Mendeley Desktop/2016/Blenk et al/IEEE Transactions on Network and Service Management/2016 - Blenk et al. - Control Plane Latency With SDN Network Hypervisors The Cost of Virtualization.pdf},\n  keywords  = {ownJournal},\n  owner     = {andi},\n  timestamp = {2016.11.16},\n  url       = {http://ieeexplore.ieee.org/document/7506048/},\n}\n\n
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\n —Software defined networking (SDN) network hypervisors provide the functionalities needed for virtualizing software-defined networks. Hypervisors sit logically between the multiple virtual SDN networks (vSDNs), which reside on the underlying physical SDN network infrastructure, and the cor-responding tenant (vSDN) controllers. Different SDN network hypervisor architectures have mainly been explored through proof-of-concept implementations. We fundamentally advance SDN network hypervisor research by conducting a model-based analysis of SDN hypervisor architectures. Specifically, we intro-duce mixed integer programming formulations for four different SDN network hypervisor architectures. Our model formulations can also optimize the placement of multi-controller switches in virtualized OpenFlow-enabled SDN networks. We employ our models to quantitatively examine the optimal placement of the hypervisor instances. We compare the control plane latencies of the different SDN hypervisor architectures and quantify the cost of virtualization, i.e., the latency overhead due to virtualizing SDN networks via hypervisors. For generalization, we quantify how the hypervisor architectures behave for different network topologies. Our model formulations and the insights drawn from our evaluations inform network operators about the trade-offs of the different hypervisor architectures and help choosing an architecture according to operator demands. Index Terms—Integer linear program, network hypervisor architecture, network virtualization, software defined network-ing, virtual software defined network embedding.\n
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\n \n\n \n \n \n \n \n Boost Online Virtual Network Embedding : Using Neural Networks for Admission Control.\n \n \n \n\n\n \n Blenk, A.; Kalmbach, P.; Smagt, P. V. D.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IFIP/IEEE CNSM, pages 10-18, October 2016. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
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@InProceedings{Blenk2016c,\n  author    = {Blenk, Andreas and Kalmbach, Patrick and Smagt, Patrick Van Der and Kellerer, Wolfgang},\n  booktitle = {Proc. IFIP/IEEE CNSM},\n  title     = {{Boost Online Virtual Network Embedding : Using Neural Networks for Admission Control}},\n  year      = {2016},\n  month     = oct,\n  pages     = {10-18},\n  doi       = {10.1109/CNSM.2016.7818395},\n  keywords  = {ownConference, computational complexity, optimisation, recurrent neural nets, resource allocation, telecommunication computing, telecommunication networks, RNN, VNR, admission control, boost online virtual network embedding, neural networks, online VNE, online embedding optimization, physical resource allocation, recurrent neural network, substrate networks, virtual network requests, Admission control, Communication networks, Mathematical programming, Neural networks, Prediction algorithms, Runtime, Substrates, Virtual network embedding, machine learning, mathematical optimization},\n  location  = {Montreal, QC, Canada},\n}\n\n
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\n \n\n \n \n \n \n \n \n Using a flexibility measure for network design space analysis of SDN and NFV.\n \n \n \n \n\n\n \n Kellerer, W.; Basta, A.; and Blenk, A.\n\n\n \n\n\n\n In Proc. IEEE INFOCOM Workshop, pages 423-428, April 2016. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"UsingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@InProceedings{Kellerer2016,\n  author        = {Kellerer, Wolfgang and Basta, Arsany and Blenk, Andreas},\n  title         = {{Using a flexibility measure for network design space analysis of SDN and NFV}},\n  booktitle     = {Proc. IEEE INFOCOM Workshop},\n  year          = {2016},\n  pages         = {423-428},\n  month         = apr,\n  publisher     = {IEEE},\n  abstract      = {Flexibility is often claimed as a competitive advantage when proposing new network designs. However, in most cases the proposals provide only qualitative arguments for their improved support of flexibility. Quantitative arguments vary a lot among different proposals. A general understanding for flexibility is not yet clearly defined, leaving it to the reader to draw the right conclusions. For networks, flexibility would refer to the ability to adapt the available network resources to changes of design requirements, e.g., lower latency budgets or different traffic distribution. Recently, new concepts such as Software Defined Networking and Network (Function) Virtualization have emerged claiming to provide more flexibility in networks. Nevertheless, a deeper understanding of what flexibility means and how it could be quantified to compare different network design choices remains open. In this paper, we raise the question whether flexibility will be a new measure for network design space analysis. We analyze how flexibility is attributed in the state of the art and show that flexibility is not well defined yet. We advocate that network research should have a deeper look into flexibility to be able to come up with quantitative arguments for network design choices with respect to flexibility. It is quite challenging to formulate a flexibility measure that covers all network aspects, however we propose an initial set of flexibility aspects to start grounding guidelines for a flexibility measure. The cost incurred to support dynamic changes, e.g., management overhead, is an important factor in the network design analysis. Our initial selection of flexibility aspects is backed up by an analysis of Software Defined Networking, Network Virtualization and Network Function Virtualization for their support of the selected flexibility aspects vs. induced cost.},\n  archiveprefix = {arXiv},\n  arxivid       = {1512.03770},\n  doi           = {10.1109/INFCOMW.2016.7562114},\n  eprint        = {1512.03770},\n  file          = {/home/andi/Documents/Mendeley Desktop/2016/Kellerer, Basta, Blenk/2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)/2016 - Kellerer, Basta, Blenk - Using a flexibility measure for network design space analysis of SDN and NFV.pdf},\n  isbn          = {978-1-4673-9955-5},\n  issn          = {0743166X},\n  keywords      = {ownConference},\n  owner         = {andi},\n  timestamp     = {2016.11.16},\n  url           = {http://arxiv.org/abs/1512.03770 http://ieeexplore.ieee.org/document/7562114/},\n}\n\n
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\n\n\n
\n Flexibility is often claimed as a competitive advantage when proposing new network designs. However, in most cases the proposals provide only qualitative arguments for their improved support of flexibility. Quantitative arguments vary a lot among different proposals. A general understanding for flexibility is not yet clearly defined, leaving it to the reader to draw the right conclusions. For networks, flexibility would refer to the ability to adapt the available network resources to changes of design requirements, e.g., lower latency budgets or different traffic distribution. Recently, new concepts such as Software Defined Networking and Network (Function) Virtualization have emerged claiming to provide more flexibility in networks. Nevertheless, a deeper understanding of what flexibility means and how it could be quantified to compare different network design choices remains open. In this paper, we raise the question whether flexibility will be a new measure for network design space analysis. We analyze how flexibility is attributed in the state of the art and show that flexibility is not well defined yet. We advocate that network research should have a deeper look into flexibility to be able to come up with quantitative arguments for network design choices with respect to flexibility. It is quite challenging to formulate a flexibility measure that covers all network aspects, however we propose an initial set of flexibility aspects to start grounding guidelines for a flexibility measure. The cost incurred to support dynamic changes, e.g., management overhead, is an important factor in the network design analysis. Our initial selection of flexibility aspects is backed up by an analysis of Software Defined Networking, Network Virtualization and Network Function Virtualization for their support of the selected flexibility aspects vs. induced cost.\n
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\n \n\n \n \n \n \n \n \n Online resource mapping for SDN network hypervisors using machine learning.\n \n \n \n \n\n\n \n Sieber, C.; Basta, A.; Blenk, A.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IEEE NetSoft Conf. and Workshops (NetSoft), pages 78-82, June 2016. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"OnlinePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@InProceedings{Sieber2016,\n  author    = {Sieber, Christian and Basta, Arsany and Blenk, Andreas and Kellerer, Wolfgang},\n  title     = {{Online resource mapping for SDN network hypervisors using machine learning}},\n  booktitle = {Proc. IEEE NetSoft Conf. and Workshops (NetSoft)},\n  year      = {2016},\n  number    = {April},\n  pages     = {78-82},\n  month     = jun,\n  publisher = {IEEE},\n  doi       = {10.1109/NETSOFT.2016.7502447},\n  file      = {/home/andi/Documents/Mendeley Desktop/2016/Sieber et al/2016 IEEE NetSoft Conference and Workshops (NetSoft)/2016 - Sieber et al. - Online resource mapping for SDN network hypervisors using machine learning.pdf},\n  isbn      = {978-1-4673-9486-4},\n  keywords  = {ownConference},\n  location  = {Seoul, South Korea},\n  owner     = {andi},\n  timestamp = {2016.11.16},\n  url       = {http://ieeexplore.ieee.org/document/7502447/},\n}\n\n
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\n \n\n \n \n \n \n \n \n Towards a programmable management plane for SDN and legacy networks.\n \n \n \n \n\n\n \n Sieber, C.; Blenk, A.; Basta, A.; Hock, D.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IEEE NetSoft Conf. and Workshops (NetSoft), pages 319-327, June 2016. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@InProceedings{Sieber2016b,\n  author    = {Sieber, Christian and Blenk, Andreas and Basta, Arsany and Hock, David and Kellerer, Wolfgang},\n  title     = {{Towards a programmable management plane for SDN and legacy networks}},\n  booktitle = {Proc. IEEE NetSoft Conf. and Workshops (NetSoft)},\n  year      = {2016},\n  pages     = {319-327},\n  month     = jun,\n  publisher = {IEEE},\n  doi       = {10.1109/NETSOFT.2016.7502428},\n  file      = {/home/andi/Documents/Mendeley Desktop/2016/Sieber et al/2016 IEEE NetSoft Conference and Workshops (NetSoft)/2016 - Sieber et al. - Towards a programmable management plane for SDN and legacy networks.pdf},\n  isbn      = {978-1-4673-9486-4},\n  keywords  = {ownConference},\n  location  = {Seoul, South Korea},\n  owner     = {andi},\n  timestamp = {2016.11.16},\n  url       = {http://ieeexplore.ieee.org/document/7502428/},\n}\n\n
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\n \n\n \n \n \n \n \n \n hvbench: An open and scalable SDN network hypervisor benchmark.\n \n \n \n \n\n\n \n Sieber, C.; Blenk, A.; Basta, A.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IEEE NetSoft Conf. and Workshops (NetSoft), pages 403-406, June 2016. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"hvbench:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@InProceedings{Sieber2016a,\n  author    = {Sieber, Christian and Blenk, Andreas and Basta, Arsany and Kellerer, Wolfgang},\n  title     = {{hvbench: An open and scalable SDN network hypervisor benchmark}},\n  booktitle = {Proc. IEEE NetSoft Conf. and Workshops (NetSoft)},\n  year      = {2016},\n  pages     = {403-406},\n  month     = jun,\n  publisher = {IEEE},\n  doi       = {10.1109/NETSOFT.2016.7502475},\n  file      = {/home/andi/Documents/Mendeley Desktop/2016/Sieber et al/2016 IEEE NetSoft Conference and Workshops (NetSoft)/2016 - Sieber et al. - hvbench An open and scalable SDN network hypervisor benchmark.pdf},\n  isbn      = {978-1-4673-9486-4},\n  keywords  = {ownConference},\n  location  = {Seoul, South Korea},\n  owner     = {andi},\n  timestamp = {2016.11.16},\n  url       = {http://ieeexplore.ieee.org/document/7502475/},\n}\n\n
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\n \n\n \n \n \n \n \n \n Optimization Models for Flexible and Adaptive SDN Network Virtualization Layers.\n \n \n \n \n\n\n \n Zerwas, J.; Blenk, A.; and Kellerer, W.\n\n\n \n\n\n\n Computer Research Repository (CoRR), (V): 1-4. November 2016.\n \n\n\n\n
\n\n\n\n \n \n \"OptimizationPaper\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@Article{Zerwas2016,\n  author        = {Zerwas, Johannes and Blenk, Andreas and Kellerer, Wolfgang},\n  title         = {{Optimization Models for Flexible and Adaptive SDN Network Virtualization Layers}},\n  journal       = {Computer Research Repository (CoRR)},\n  year          = {2016},\n  number        = {V},\n  pages         = {1-4},\n  month         = nov,\n  abstract      = {Network hypervisors provide the network virtualization layer for Software Defined Networking (SDN). They enable virtual network (VN) tenants to bring their SDN controllers to program their logical networks individually according to their demands. In order to make use of the high flexibility of virtual SDN networks and to provide high performance, the deployment of the virtualization layer needs to adapt to changing VN demands. This paper initializes the study of the optimization of dynamic SDN network virtualization layers. Based on the definition of reconfiguration events, we formalized mixed integer programs to analyze the multi-objective problem of adapting virtualization layers. Our initial simulation results demonstrate Pareto frontiers of conflicting objectives, namely control plane latency and hypervisor and control path reconfigurations.},\n  archiveprefix = {arXiv},\n  arxivid       = {1611.03307},\n  eprint        = {1611.03307},\n  file          = {/home/andi/Documents/Mendeley Desktop/2016/Zerwas, Blenk, Kellerer/Unknown/2016 - Zerwas, Blenk, Kellerer - Optimization Models for Flexible and Adaptive SDN Network Virtualization Layers.pdf},\n  keywords      = {ownReports},\n  owner         = {andi},\n  timestamp     = {2016.11.16},\n  url           = {http://arxiv.org/abs/1611.03307},\n}\n\n
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\n Network hypervisors provide the network virtualization layer for Software Defined Networking (SDN). They enable virtual network (VN) tenants to bring their SDN controllers to program their logical networks individually according to their demands. In order to make use of the high flexibility of virtual SDN networks and to provide high performance, the deployment of the virtualization layer needs to adapt to changing VN demands. This paper initializes the study of the optimization of dynamic SDN network virtualization layers. Based on the definition of reconfiguration events, we formalized mixed integer programs to analyze the multi-objective problem of adapting virtualization layers. Our initial simulation results demonstrate Pareto frontiers of conflicting objectives, namely control plane latency and hypervisor and control path reconfigurations.\n
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\n \n\n \n \n \n \n \n \n Survey on Network Virtualization Hypervisors for Software Defined Networking.\n \n \n \n \n\n\n \n Blenk, A.; Basta, A.; Reisslein, M.; and Kellerer, W.\n\n\n \n\n\n\n IEEE Commun. Surveys & Tutorials, 18(1): 655-685. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"SurveyPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{Blenk2016,\n  author   = {Blenk, Andreas and Basta, Arsany and Reisslein, Martin and Kellerer, Wolfgang},\n  title    = {{Survey on Network Virtualization Hypervisors for Software Defined Networking}},\n  journal  = {IEEE Commun. Surveys \\& Tutorials},\n  year     = {2016},\n  volume   = {18},\n  number   = {1},\n  pages    = {655-685},\n  issn     = {1553-877X},\n  doi      = {10.1109/COMST.2015.2489183},\n  file     = {/home/andi/Documents/Mendeley Desktop/Blenk et al/2016 - Blenk et al. - Survey on Network Virtualization Hypervisors for Software Defined Networking(2).pdf},\n  keywords = {ownJournal},\n  url      = {http://ieeexplore.ieee.org/xpls/abs{\\_}all.jsp?arnumber=7295561 http://ieeexplore.ieee.org/document/7295561/},\n}\n\n\n
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\n \n\n \n \n \n \n \n \n .\n \n \n \n \n\n\n \n Basta, A.; Blenk, A.; Hoffmann, M.; Morper, H. J.; Hoffmann, K.; and Kellerer, W.\n\n\n \n\n\n\n SDN and NFV Dynamic Operation of LTE EPC Gateways for Time-varying Traffic Patterns, pages 63-76. Springer International Publishing, Cham, February 2015.\n \n\n\n\n
\n\n\n\n \n \n \"SDNPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InBook{Basta2014a,\n  pages     = {63-76},\n  title     = {{SDN and NFV Dynamic Operation of LTE EPC Gateways for Time-varying Traffic Patterns}},\n  publisher = {Springer International Publishing},\n  year      = {2015},\n  author    = {Basta, Arsany and Blenk, Andreas and Hoffmann, Marco and Morper, Hans Jochen and Hoffmann, Klaus and Kellerer, Wolfgang},\n  address   = {Cham},\n  isbn      = {978-3-319-16292-8},\n  month     = feb,\n  abstract  = {The introduction of Network Functions Virtualization (NFV) and Software Defined Networking (SDN) to mobile networks enables operators to control and dimension their network resources with higher granularity and on a more fine-grained time scale. This dynamic operation allows operators to cope with the rapid growth of traffic and user demands, in addition to reducing costs. In this paper, we model and analyze a realization of the mobile core network as virtualized software instances running in datacenters (DC) and SDN transport network elements (NE), with respect to time-varying traffic demands. It is our objective to determine the datacenters placement that achieves the minimum transport network load considering time-varying traffic and under a data-plane delay budget. A second objective is to achieve power savings, considering the variation of traffic over time, by using the available datacenter resources or by acquiring additional resources.},\n  booktitle = {Mobile Networks and Management: 6th International Conference, MONAMI 2014, W\\"urzburg, Germany, September 22-26, 2014, Revised Selected Papers},\n  doi       = {10.1007/978-3-319-16292-8_5},\n  keywords  = {ownConference},\n  url       = {https://doi.org/10.1007/978-3-319-16292-8_5},\n}\n\n
\n
\n\n\n
\n The introduction of Network Functions Virtualization (NFV) and Software Defined Networking (SDN) to mobile networks enables operators to control and dimension their network resources with higher granularity and on a more fine-grained time scale. This dynamic operation allows operators to cope with the rapid growth of traffic and user demands, in addition to reducing costs. In this paper, we model and analyze a realization of the mobile core network as virtualized software instances running in datacenters (DC) and SDN transport network elements (NE), with respect to time-varying traffic demands. It is our objective to determine the datacenters placement that achieves the minimum transport network load considering time-varying traffic and under a data-plane delay budget. A second objective is to achieve power savings, considering the variation of traffic over time, by using the available datacenter resources or by acquiring additional resources.\n
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\n \n\n \n \n \n \n \n \n Towards a dynamic SDN virtualization layer: Control path migration protocol.\n \n \n \n \n\n\n \n Basta, A.; Blenk, A.; Belhaj Hassine, H.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IFIP/IEEE CNSM, pages 354-359, November 2015. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"TowardsPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Basta2015,\n  author    = {Basta, Arsany and Blenk, Andreas and {Belhaj Hassine}, Hassib and Kellerer, Wolfgang},\n  title     = {{Towards a dynamic SDN virtualization layer: Control path migration protocol}},\n  booktitle = {Proc. IFIP/IEEE CNSM},\n  year      = {2015},\n  pages     = {354-359},\n  month     = nov,\n  publisher = {IEEE},\n  abstract  = {Virtualization of software defined networks enables tenants to bring their own controller and manage their virtual resources with the full programmability provided by Software Defined Networking (SDN). Distributed SDN hypervisors are proposed to provide an efficient platform for the virtualization of physical SDN networks. They address the issue of scalability that a centralized hypervisor could suffer from. As virtualization provides the possibility to change virtual SDN networks on run time, a hypervisor layer needs efficient mechanisms to dynamically adapt to the changing requirements. Existing proposals provide only a static configuration setup for their distribution of the hypervisor instances. However, in order to satisfy the dynamics of virtual SDN networks, management protocols are needed to support dynamic changes. In this paper, we propose a control path migration protocol for distributed hypervisors. Such protocol is needed to support the dynamic adaptation of the virtualization layer. Our protocol is providing the missing procedure that allows a dynamic change of control connections between virtual SDN networks and the tenants' controllers, respectively. We provide a proof of concept implementation for our proposal. Through measurements in a real testbed setup, we show that our protocol is efficient in terms of control latency overhead and provides transparency to the controllers of the virtual SDN networks.},\n  doi       = {10.1109/CNSM.2015.7367382},\n  file      = {/home/andi/Documents/Mendeley Desktop/2015/Basta et al/2015 11th International Conference on Network and Service Management (CNSM)/2015 - Basta et al. - Towards a dynamic SDN virtualization layer Control path migration protocol.pdf},\n  isbn      = {978-3-9018-8277-7},\n  keywords  = {ownConference},\n  location  = {Barcelona, Spain},\n  owner     = {andi},\n  timestamp = {2016.11.16},\n  url       = {http://ieeexplore.ieee.org/document/7367382/},\n}\n\n
\n
\n\n\n
\n Virtualization of software defined networks enables tenants to bring their own controller and manage their virtual resources with the full programmability provided by Software Defined Networking (SDN). Distributed SDN hypervisors are proposed to provide an efficient platform for the virtualization of physical SDN networks. They address the issue of scalability that a centralized hypervisor could suffer from. As virtualization provides the possibility to change virtual SDN networks on run time, a hypervisor layer needs efficient mechanisms to dynamically adapt to the changing requirements. Existing proposals provide only a static configuration setup for their distribution of the hypervisor instances. However, in order to satisfy the dynamics of virtual SDN networks, management protocols are needed to support dynamic changes. In this paper, we propose a control path migration protocol for distributed hypervisors. Such protocol is needed to support the dynamic adaptation of the virtualization layer. Our protocol is providing the missing procedure that allows a dynamic change of control connections between virtual SDN networks and the tenants' controllers, respectively. We provide a proof of concept implementation for our proposal. Through measurements in a real testbed setup, we show that our protocol is efficient in terms of control latency overhead and provides transparency to the controllers of the virtual SDN networks.\n
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\n \n\n \n \n \n \n \n \n HyperFlex: Demonstrating control-plane isolation for virtual software-defined networks.\n \n \n \n \n\n\n \n Basta, A.; Blenk, A.; Lai, Y.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IFIP/IEEE Int. Symp. IM Netw., pages 1163-1164, May 2015. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"HyperFlex:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Basta2015a,\n  author    = {Basta, Arsany and Blenk, Andreas and Lai, Yu-Ting and Kellerer, Wolfgang},\n  booktitle = {Proc. IFIP/IEEE IM},\n  title     = {{HyperFlex: Demonstrating control-plane isolation for virtual software-defined networks}},\n  booktitle = {Proc. IFIP/IEEE Int. Symp. IM Netw.},\n  year      = {2015},\n  pages     = {1163-1164},\n  month     = may,\n  pages     = {1163-1164},\n  publisher = {IEEE},\n  doi       = {10.1109/INM.2015.7140460},\n  file      = {/home/andi/Documents/Mendeley Desktop/2015/Basta et al/2015 IFIPIEEE International Symposium on Integrated Network Management (IM)/2015 - Basta et al. - HyperFlex Demonstrating control-plane isolation for virtual software-defined networks.pdf},\n  isbn      = {978-1-4799-8241-7},\n  keywords  = {ownConference},\n  location  = {Ottawa, ON, Canada},\n  owner     = {andi},\n  timestamp = {2016.11.16},\n  url       = {http://ieeexplore.ieee.org/document/7140460/},\n}\n\n
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\n \n\n \n \n \n \n \n \n HyperFlex: An SDN virtualization architecture with flexible hypervisor function allocation.\n \n \n \n \n\n\n \n Blenk, A.; Basta, A.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IFIP/IEEE Int. Symp. IM Netw., pages 397-405, May 2015. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"HyperFlex:Paper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Blenk2015b,\n  author    = {Blenk, Andreas and Basta, Arsany and Kellerer, Wolfgang},\n  title     = {{HyperFlex: An SDN virtualization architecture with flexible hypervisor function allocation}},\n  booktitle = {Proc. IFIP/IEEE Int. Symp. IM Netw.},\n  year      = {2015},\n  pages     = {397-405},\n  month     = may,\n  publisher = {IEEE},\n  abstract  = {Network Virtualization (NV) and Software-Defined Networking (SDN) are both expected to increase the flexibility and programmability of today's communication networks. Combining both approaches may even be a further step towards increasing the efficiency of network resource utilization. Multiple solutions for virtualizing SDN networks have already been proposed, however, they are either implemented in software or they require special network hardware. We propose HyperFlex, an SDN hypervisor architecture that relies on the decomposition of the hypervisor into functions that are essential for virtualizing SDN networks. The hypervisor functions can be flexibly executed in software or hosted on SDN network elements. Furthermore, existing hypervisor solutions focus on data-plane virtualization mechanisms and neglect the virtualization of the control-plane of SDN networks. HyperFlex provides control-plane virtualization by adding a control-plane isolation function, either in software or on network elements. The isolation function ensures that the resources of the control-plane are shared correctly between each virtual SDN network while it also protects the hypervisor resources from resource exhaustion. I.},\n  doi       = {10.1109/INM.2015.7140316},\n  file      = {/home/andi/Documents/Mendeley Desktop/2015/Blenk, Basta, Kellerer/2015 IFIPIEEE International Symposium on Integrated Network Management (IM)/2015 - Blenk, Basta, Kellerer - HyperFlex An SDN virtualization architecture with flexible hypervisor function allocation.pdf},\n  isbn      = {978-1-4799-8241-7},\n  issn      = {1573-0077},\n  keywords  = {ownConference},\n  location  = {Ottawa, ON, Canada},\n  owner     = {andi},\n  timestamp = {2016.11.16},\n  url       = {http://ieeexplore.ieee.org/document/7140316/},\n}\n\n
\n
\n\n\n
\n Network Virtualization (NV) and Software-Defined Networking (SDN) are both expected to increase the flexibility and programmability of today's communication networks. Combining both approaches may even be a further step towards increasing the efficiency of network resource utilization. Multiple solutions for virtualizing SDN networks have already been proposed, however, they are either implemented in software or they require special network hardware. We propose HyperFlex, an SDN hypervisor architecture that relies on the decomposition of the hypervisor into functions that are essential for virtualizing SDN networks. The hypervisor functions can be flexibly executed in software or hosted on SDN network elements. Furthermore, existing hypervisor solutions focus on data-plane virtualization mechanisms and neglect the virtualization of the control-plane of SDN networks. HyperFlex provides control-plane virtualization by adding a control-plane isolation function, either in software or on network elements. The isolation function ensures that the resources of the control-plane are shared correctly between each virtual SDN network while it also protects the hypervisor resources from resource exhaustion. I.\n
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\n \n\n \n \n \n \n \n Pairing SDN with network virtualization: The network hypervisor placement problem.\n \n \n \n\n\n \n Blenk, A.; Basta, A.; Zerwas, J.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IEEE NFV-SDN, pages 198-204, November 2015. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n 
@InProceedings{Blenk2016a,\n  author    = {Blenk, Andreas and Basta, Arsany and Zerwas, Johannes and Kellerer, Wolfgang},\n  booktitle = {Proc. IEEE NFV-SDN},\n  title     = {{Pairing SDN with network virtualization: The network hypervisor placement problem}},\n  year      = {2015},\n  month     = nov,\n  pages     = {198-204},\n  doi       = {10.1109/NFV-SDN.2015.7387427},\n  keywords  = {ownConference, software defined networking, telecommunication network topology, virtual machines, virtualisation, HPP, general SDN controller placement problem, latency metrics, network hypervisor placement problem, network virtualization hypervisor, physical network topology, virtual SDN networks, Mathematical model, Measurement, Resilience, Virtual machine monitors, Virtualization},\n  location  = {San Francisco, CA, USA},\n}\n\n
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\n \n\n \n \n \n \n \n \n Performance study of dynamic QoS management for OpenFlow-enabled SDN switches.\n \n \n \n \n\n\n \n Durner, R.; Blenk, A.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IEEE IWQoS, pages 177-182, June 2015. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"PerformancePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Durner2015a,\n  author    = {Durner, Raphael and Blenk, Andreas and Kellerer, Wolfgang},\n  title     = {{Performance study of dynamic QoS management for OpenFlow-enabled SDN switches}},\n  booktitle = {Proc. IEEE IWQoS},\n  year      = {2015},\n  pages     = {177-182},\n  month     = jun,\n  publisher = {IEEE},\n  abstract  = {—Software-defined Networking (SDN) is a promising and powerful concept to introduce new dimensions of flexibility and adaptability in today's communication networks. In particu-lar, the realization of Quality of Service (QoS) concepts becomes possible in a flexible and dynamic manner with SDN. Although concepts of QoS are well researched, they were not realized in communication networks due to high implementation complexity and realization costs. Using SDN to realize QoS mechanisms enables emerging concepts, such as application-aware resource management solutions. These emerging concepts demand latency or data rate guarantees for end-user applications, e.g., video streaming or gaming. However, the impact of dynamic QoS management on network traffic has not been studied in detail yet. This paper provides a first study of the impact on dynamic QoS mechanisms and their realizations for OpenFlow-enabled SDN switches. Although SDN and, in particular, OpenFlow as one dominant realization claim to provide a standardized interface to control network traffic, our measurement results show a noticeable diversity for different OpenFlow switches. In detail, our investigations reveal a severe impact on the performance of TCP-based network traffic among different switches. These observations of switch diversity may provide SDN application developers insights when realizing QoS concepts in an SDN-based network.},\n  doi       = {10.1109/IWQoS.2015.7404730},\n  file      = {/home/andi/Documents/Mendeley Desktop/2015/Durner, Blenk, Kellerer/2015 IEEE 23rd International Symposium on Quality of Service (IWQoS)/2015 - Durner, Blenk, Kellerer - Performance study of dynamic QoS management for OpenFlow-enabled SDN switches.pdf},\n  isbn      = {978-1-4673-7113-1},\n  keywords  = {ownConference},\n  location  = {Portland, OR, USA},\n  owner     = {andi},\n  timestamp = {2016.11.16},\n  url       = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7404730},\n}\n\n
\n
\n\n\n
\n —Software-defined Networking (SDN) is a promising and powerful concept to introduce new dimensions of flexibility and adaptability in today's communication networks. In particu-lar, the realization of Quality of Service (QoS) concepts becomes possible in a flexible and dynamic manner with SDN. Although concepts of QoS are well researched, they were not realized in communication networks due to high implementation complexity and realization costs. Using SDN to realize QoS mechanisms enables emerging concepts, such as application-aware resource management solutions. These emerging concepts demand latency or data rate guarantees for end-user applications, e.g., video streaming or gaming. However, the impact of dynamic QoS management on network traffic has not been studied in detail yet. This paper provides a first study of the impact on dynamic QoS mechanisms and their realizations for OpenFlow-enabled SDN switches. Although SDN and, in particular, OpenFlow as one dominant realization claim to provide a standardized interface to control network traffic, our measurement results show a noticeable diversity for different OpenFlow switches. In detail, our investigations reveal a severe impact on the performance of TCP-based network traffic among different switches. These observations of switch diversity may provide SDN application developers insights when realizing QoS concepts in an SDN-based network.\n
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\n \n\n \n \n \n \n \n \n The cost of aggressive HTTP adaptive streaming: Quantifying YouTube's redundant traffic.\n \n \n \n \n\n\n \n Sieber, C.; Blenk, A.; Hinteregger, M.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IFIP/IEEE Int. Symp. IM Netw., pages 1261-1267, May 2015. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"ThePaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Sieber2015a,\n  author    = {Sieber, Christian and Blenk, Andreas and Hinteregger, Max and Kellerer, Wolfgang},\n  title     = {{The cost of aggressive HTTP adaptive streaming: Quantifying YouTube's redundant traffic}},\n  booktitle = {Proc. IFIP/IEEE Int. Symp. IM Netw.},\n  year      = {2015},\n  pages     = {1261-1267},\n  month     = may,\n  publisher = {IEEE},\n  doi       = {10.1109/INM.2015.7140478},\n  file      = {/home/andi/Documents/Mendeley Desktop/2015/Sieber et al/2015 IFIPIEEE International Symposium on Integrated Network Management (IM)/2015 - Sieber et al. - The cost of aggressive HTTP adaptive streaming Quantifying YouTube's redundant traffic.pdf},\n  isbn      = {978-1-4799-8241-7},\n  keywords  = {ownConference},\n  location  = {Ottawa, ON, Canada},\n  owner     = {andi},\n  timestamp = {2016.11.16},\n  url       = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7140478 http://ieeexplore.ieee.org/document/7140478/},\n}\n\n
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\n \n\n \n \n \n \n \n \n Network configuration with quality of service abstractions for SDN and legacy networks.\n \n \n \n \n\n\n \n Sieber, C.; Blenk, A.; Hock, D.; Scheib, M.; Hohn, T.; Kohler, S.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IFIP/IEEE Int. Symp. IM Netw., pages 1135-1136, May 2015. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"NetworkPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Sieber2015b,\n  author    = {Sieber, Christian and Blenk, Andreas and Hock, David and Scheib, Marc and Hohn, Thomas and Kohler, Stefan and Kellerer, Wolfgang},\n  title     = {{Network configuration with quality of service abstractions for SDN and legacy networks}},\n  booktitle = {Proc. IFIP/IEEE Int. Symp. IM Netw.},\n  year      = {2015},\n  pages     = {1135-1136},\n  month     = may,\n  publisher = {IEEE},\n  doi       = {10.1109/INM.2015.7140446},\n  file      = {/home/andi/Documents/Mendeley Desktop/2015/Sieber et al/2015 IFIPIEEE International Symposium on Integrated Network Management (IM)/2015 - Sieber et al. - Network configuration with quality of service abstractions for SDN and legacy networks.pdf},\n  isbn      = {978-1-4799-8241-7},\n  keywords  = {ownConference},\n  location  = {Ottawa, ON, Canada},\n  owner     = {andi},\n  timestamp = {2016.11.16},\n  url       = {http://ieeexplore.ieee.org/document/7140446/},\n}\n\n
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\n \n\n \n \n \n \n \n \n Modelling and performance analysis of application-aware resource management.\n \n \n \n \n\n\n \n Wamser, F.; Blenk, A.; Seufert, M.; Zinner, T.; Kellerer, W.; and Tran-Gia, P.\n\n\n \n\n\n\n International Journal of Network Management, 25(4): 223-241. May 2015.\n nem.1894\n\n\n\n
\n\n\n\n \n \n \"ModellingPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@Article{Wamser2015,\n  author   = {Wamser, Florian and Blenk, Andreas and Seufert, Michael and Zinner, Thomas and Kellerer, Wolfgang and Tran-Gia, Phuoc},\n  title    = {{Modelling and performance analysis of application-aware resource management}},\n  journal  = {International Journal of Network Management},\n  year     = {2015},\n  volume   = {25},\n  number   = {4},\n  pages    = {223-241},\n  month    = may,\n  issn     = {1099-1190},\n  note     = {nem.1894},\n  doi      = {10.1002/nem.1894},\n  keywords = {ownJournal},\n  url      = {http://dx.doi.org/10.1002/nem.1894},\n}\n\n
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\n  \n 2014\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Dynamic Application-Aware Resource Management Using Software-Defined Networking: Implementation Prospects and Challenges.\n \n \n \n \n\n\n \n Zinner, T.; Jarschel, M.; Blenk, A.; Wamser, F.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. IEEE NOMS, pages 1-6, Krakow, Poland, May 2014. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"DynamicPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n 
@InProceedings{Zinner2014,\n  author    = {Zinner, Thomas and Jarschel, Michael and Blenk, Andreas and Wamser, Florian and Kellerer, Wolfgang},\n  title     = {{Dynamic Application-Aware Resource Management Using Software-Defined Networking: Implementation Prospects and Challenges}},\n  booktitle = {Proc. IEEE NOMS},\n  year      = {2014},\n  pages     = {1-6},\n  address   = {Krakow, Poland},\n  month     = may,\n  publisher = {IEEE},\n  doi       = {10.1109/NOMS.2014.6838404},\n  file      = {/home/andi/Documents/Mendeley Desktop/2014/Zinner et al/{\\{}IFIP{\\}}{\\{}IEEE{\\}} International Workshop on Quality of Experience Centric Management (QCMan)/2014 - Zinner et al. - Dynamic Application-Aware Resource Management Using Software-Defined Networking Implementation Prospects and Chal.pdf},\n  isbn      = {978-1-4799-0913-1},\n  keywords  = {ownConference},\n  owner     = {andi},\n  timestamp = {2016.11.16},\n  url       = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6838404},\n}\n\n
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\n  \n 2013\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Traffic pattern based virtual network embedding.\n \n \n \n \n\n\n \n Blenk, A.; and Kellerer, W.\n\n\n \n\n\n\n In Proc. ACM CoNEXT Student Workshop, of CoNEXT Student Workhop '13, pages 23-26, December 2013. ACM\n \n\n\n\n
\n\n\n\n \n \n \"TrafficPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 2 downloads\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@InProceedings{Blenk2013,\n  author    = {Blenk, Andreas and Kellerer, Wolfgang},\n  title     = {{Traffic pattern based virtual network embedding}},\n  booktitle = {Proc. ACM CoNEXT Student Workshop},\n  year      = {2013},\n  series    = {CoNEXT Student Workhop '13},\n  pages     = {23-26},\n  month     = dec,\n  publisher = {ACM},\n  acmid     = {2537151},\n  doi       = {10.1145/2537148.2537151},\n  isbn      = {978-1-4503-2575-2},\n  keywords  = {ownConference},\n  location  = {Santa Barbara, California, USA},\n  numpages  = {4},\n  url       = {http://doi.acm.org/10.1145/2537148.2537151},\n}\n\n
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\n \n\n \n \n \n \n \n \n Dynamic HTTP download scheduling with respect to energy consumption.\n \n \n \n \n\n\n \n Blenk, A.; Kellerer, W.; Wamser, F.; and Zinner, T.\n\n\n \n\n\n\n In Proc. Tyrrhenian Int. Workshop on Dig. Commun. - Green ICT (TIWDC), pages 1-6, September 2013. IEEE\n \n\n\n\n
\n\n\n\n \n \n \"DynamicPaper\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
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@InProceedings{Blenk,\n  author    = {Blenk, Andreas and Kellerer, Wolfgang and Wamser, Florian and Zinner, Thomas},\n  title     = {{Dynamic HTTP download scheduling with respect to energy consumption}},\n  booktitle = {Proc. Tyrrhenian Int. Workshop on Dig. Commun. - Green ICT (TIWDC)},\n  year      = {2013},\n  pages     = {1-6},\n  month     = sep,\n  publisher = {IEEE},\n  doi       = {10.1109/TIWDC.2013.6664220},\n  isbn      = {978-1-4799-0756-4},\n  keywords  = {ownConference},\n  localfile = {/home/andi/Documents/Mendeley Desktop/2013/Blenk et al/2013 24th Tyrrhenian International Workshop on Digital Communications - Green ICT (TIWDC)/2013 - Blenk et al. - Dynamic HTTP download scheduling with respect to energy consumption.pdf},\n  location  = {Genoa, Italy},\n  owner     = {andi},\n  timestamp = {2016.11.16},\n  url       = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6664220},\n}\n\n
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\n \n\n \n \n \n \n \n Application-Aware Self-­Op­ti­mi­za­tion of Wireless Mesh Networks with AquareYoum and DES-SERT.\n \n \n \n\n\n \n Staehle, B.; Wamser, F.; Deschner, S.; Blenk, A.; Staehle, D.; Hahm, O.; Schmittberger, N.; and Mesut, G\n\n\n \n\n\n\n In Proc. Würzburg Workshop on IP: Joint ITG and Euro-NF Workshop \"Visions of Future Generation Networks\", pages 3-4, Würzburg, Germany, August 2011. \n \n\n\n\n
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@InProceedings{Staehle2011,\n  author    = {Staehle, Barbara and Wamser, Florian and Deschner, Sebastian and Blenk, Andreas and Staehle, Dirk and Hahm, Oliver and Schmittberger, Nicolai and Mesut, G},\n  title     = {{Application-Aware Self-\\-Op\\-ti\\-mi\\-za\\-tion of Wireless Mesh Networks with AquareYoum and DES-SERT}},\n  booktitle = {Proc. W\\"urzburg Workshop on IP: Joint ITG and Euro-NF Workshop "Visions of Future Generation Networks"},\n  year      = {2011},\n  pages     = {3-4},\n  address   = {W\\"urzburg, Germany},\n  month     = aug,\n  keywords  = {ownConference},\n  owner     = {andi},\n  timestamp = {2016.11.16},\n}\n\n
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