var bibbase_data = {"data":"<img src=\"//bibbase.org/img/ajax-loader.gif\" id=\"spinner\"\n  style=\"display: none;\" alt=\"Loading..\" />\n\n<div id=\"bibbase\">\n\n  <script type=\"text/javascript\">\n    var bibbase = {\n      params: {\"bib\":\"https://bibbase.org/zotero-mypublications/khannurien\",\"jsonp\":\"1\",\"host\":\"bibbase.org\",\"ssl\":false},\n      data: [{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"IDS-DEEP..: strategies for selecting the best IDS for Drones with heterogeneous or homogeneous EmbEdded Parallel Platforms\",\"issn\":\"07437315\",\"shorttitle\":\"IDS-DEEP..\",\"url\":\"https://linkinghub.elsevier.com/retrieve/pii/S0743731526001425\",\"doi\":\"10.1016/j.jpdc.2026.105364\",\"abstract\":\"Nowadays, swarms of drones are gaining a lot of interest for critical missions like search and rescue. They can be composed of several types of drones, with potentially different processing capabilities to successfully perform various computing tasks. In particular, some may use heterogeneous computing platforms, while others may rely on homogeneous parallel ones.\",\"language\":\"en\",\"urldate\":\"2026-10-04\",\"journal\":\"Journal of Parallel and Distributed Computing\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Morge-Rollet\"],\"firstnames\":[\"Louis\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Slimani\"],\"firstnames\":[\"Camélia\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Garreau\"],\"firstnames\":[\"Pierre\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lemarchand\"],\"firstnames\":[\"Laurent\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lannurien\"],\"firstnames\":[\"Vincent\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Cotret\"],\"firstnames\":[\"Pascal\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Espes\"],\"firstnames\":[\"David\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Le\",\"Roy\"],\"firstnames\":[\"Frédéric\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Francq\"],\"firstnames\":[\"Julien\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Boukhobza\"],\"firstnames\":[\"Jalil\"],\"suffixes\":[]}],\"month\":\"October\",\"year\":\"2026\",\"pages\":\"105364\",\"bibtex\":\"@article{morge-rolletIDSDEEPStrategiesSelecting2026,\\n\\ttitle = {{IDS}-{DEEP}..: strategies for selecting the best {IDS} for {Drones} with heterogeneous or homogeneous {EmbEdded} {Parallel} {Platforms}},\\n\\tissn = {07437315},\\n\\tshorttitle = {{IDS}-{DEEP}..},\\n\\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0743731526001425},\\n\\tdoi = {10.1016/j.jpdc.2026.105364},\\n\\tabstract = {Nowadays, swarms of drones are gaining a lot of interest for critical missions like search and rescue. They can be composed of several types of drones, with potentially different processing capabilities to successfully perform various computing tasks. In particular, some may use heterogeneous computing platforms, while others may rely on homogeneous parallel ones.},\\n\\tlanguage = {en},\\n\\turldate = {2026-10-04},\\n\\tjournal = {Journal of Parallel and Distributed Computing},\\n\\tauthor = {Morge-Rollet, Louis and Slimani, Camélia and Garreau, Pierre and Lemarchand, Laurent and Lannurien, Vincent and Cotret, Pascal and Espes, David and Le Roy, Frédéric and Francq, Julien and Boukhobza, Jalil},\\n\\tmonth = oct,\\n\\tyear = {2026},\\n\\tpages = {105364},\\n}\\n\\n\\n\\n\\n\\n\\n\\n\",\"author_short\":[\"Morge-Rollet, L.\",\"Slimani, C.\",\"Garreau, P.\",\"Lemarchand, L.\",\"Lannurien, V.\",\"Cotret, P.\",\"Espes, D.\",\"Le Roy, F.\",\"Francq, J.\",\"Boukhobza, J.\"],\"key\":\"morge-rolletIDSDEEPStrategiesSelecting2026\",\"id\":\"morge-rolletIDSDEEPStrategiesSelecting2026\",\"bibbaseid\":\"morgerollet-slimani-garreau-lemarchand-lannurien-cotret-espes-leroy-etal-idsdeepstrategiesforselectingthebestidsfordroneswithheterogeneousorhomogeneousembeddedparallelplatforms-2026\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://linkinghub.elsevier.com/retrieve/pii/S0743731526001425\"},\"metadata\":{\"authorlinks\":{\"lannurien, v\":\"https://vincentlannurien.com/about/publications/\"}},\"html\":\"\"},{\"bibtype\":\"misc\",\"type\":\"misc\",\"title\":\"A retrospective on DISPEED – Leveraging heterogeneity in a drone swarm for IDS execution\",\"url\":\"http://arxiv.org/abs/2506.11800\",\"doi\":\"10.48550/arXiv.2506.11800\",\"abstract\":\"Swarms of drones are gaining more and more autonomy and efficiency during their missions. However, security threats can disrupt their missions' progression. To overcome this problem, Network Intrusion Detection Systems ((N)IDS) are promising solutions to detect malicious behavior on network traffic. However, modern NIDS rely on resource-hungry machine learning techniques, that can be difficult to deploy on a swarm of drones. The goal of the DISPEED project is to leverage the heterogeneity (execution platforms, memory) of the drones composing a swarm to deploy NIDS. It is decomposed in two phases: (1) a characterization phase that consists in characterizing various IDS implementations on diverse embedded platforms, and (2) an IDS implementation mapping phase that seeks to develop selection strategies to choose the most relevant NIDS depending on the context. On the one hand, the characterization phase allowed us to identify 36 relevant IDS implementations on three different embedded platforms: a Raspberry Pi 4B, a Jetson Xavier, and a Pynq-Z2. On the other hand, the IDS implementation mapping phase allowed us to design both standalone and distributed strategies to choose the best NIDSs to deploy depending on the context. The results of the project have led to three publications in international conferences, and one publication in a journal.\",\"urldate\":\"2026-09-08\",\"publisher\":\"arXiv\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Lannurien\"],\"firstnames\":[\"Vincent\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Slimani\"],\"firstnames\":[\"Camélia\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Morge-Rollet\"],\"firstnames\":[\"Louis\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Lemarchand\"],\"firstnames\":[\"Laurent\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Espes\"],\"firstnames\":[\"David\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Roy\"],\"firstnames\":[\"Frédéric\",\"Le\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Boukhobza\"],\"firstnames\":[\"Jalil\"],\"suffixes\":[]}],\"month\":\"June\",\"year\":\"2025\",\"note\":\"arXiv:2506.11800 [cs.DC]\",\"bibtex\":\"@misc{lannurienRetrospectiveDISPEEDLeveraging2025,\\n\\ttitle = {A retrospective on {DISPEED} -- {Leveraging} heterogeneity in a drone swarm for {IDS} execution},\\n\\turl = {http://arxiv.org/abs/2506.11800},\\n\\tdoi = {10.48550/arXiv.2506.11800},\\n\\tabstract = {Swarms of drones are gaining more and more autonomy and efficiency during their missions. However, security threats can disrupt their missions' progression. To overcome this problem, Network Intrusion Detection Systems ((N)IDS) are promising solutions to detect malicious behavior on network traffic. However, modern NIDS rely on resource-hungry machine learning techniques, that can be difficult to deploy on a swarm of drones. The goal of the DISPEED project is to leverage the heterogeneity (execution platforms, memory) of the drones composing a swarm to deploy NIDS. It is decomposed in two phases: (1) a characterization phase that consists in characterizing various IDS implementations on diverse embedded platforms, and (2) an IDS implementation mapping phase that seeks to develop selection strategies to choose the most relevant NIDS depending on the context. On the one hand, the characterization phase allowed us to identify 36 relevant IDS implementations on three different embedded platforms: a Raspberry Pi 4B, a Jetson Xavier, and a Pynq-Z2. On the other hand, the IDS implementation mapping phase allowed us to design both standalone and distributed strategies to choose the best NIDSs to deploy depending on the context. The results of the project have led to three publications in international conferences, and one publication in a journal.},\\n\\turldate = {2026-09-08},\\n\\tpublisher = {arXiv},\\n\\tauthor = {Lannurien, Vincent and Slimani, Camélia and Morge-Rollet, Louis and Lemarchand, Laurent and Espes, David and Roy, Frédéric Le and Boukhobza, Jalil},\\n\\tmonth = jun,\\n\\tyear = {2025},\\n\\tnote = {arXiv:2506.11800 [cs.DC]},\\n}\\n\\n\\n\\n\",\"author_short\":[\"Lannurien, V.\",\"Slimani, C.\",\"Morge-Rollet, L.\",\"Lemarchand, L.\",\"Espes, D.\",\"Roy, F. L.\",\"Boukhobza, J.\"],\"key\":\"lannurienRetrospectiveDISPEEDLeveraging2025\",\"id\":\"lannurienRetrospectiveDISPEEDLeveraging2025\",\"bibbaseid\":\"lannurien-slimani-morgerollet-lemarchand-espes-roy-boukhobza-aretrospectiveondispeedleveragingheterogeneityinadroneswarmforidsexecution-2025\",\"role\":\"author\",\"urls\":{\"Paper\":\"http://arxiv.org/abs/2506.11800\"},\"metadata\":{\"authorlinks\":{\"lannurien, v\":\"https://vincentlannurien.com/about/publications/\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"Allocation et placement dynamiques sur ressources hétérogènes pour le cloud serverless\",\"language\":\"fr\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Lannurien\"],\"firstnames\":[\"Vincent\"],\"suffixes\":[]}],\"bibtex\":\"@article{lannurienAllocationPlacementDynamiques,\\n\\ttitle = {Allocation et placement dynamiques sur ressources hétérogènes pour le cloud serverless},\\n\\tlanguage = {fr},\\n\\tauthor = {Lannurien, Vincent},\\n}\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\",\"author_short\":[\"Lannurien, V.\"],\"key\":\"lannurienAllocationPlacementDynamiques\",\"id\":\"lannurienAllocationPlacementDynamiques\",\"bibbaseid\":\"lannurien-allocationetplacementdynamiquessurressourceshtrognespourlecloudserverless\",\"role\":\"author\",\"urls\":{},\"metadata\":{\"authorlinks\":{\"lannurien, v\":\"https://vincentlannurien.com/about/publications/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Philadelphia, PA, USA\",\"title\":\"HeROcache: Storage-Aware Scheduling in Heterogeneous Serverless Edge – The Case of IDS\",\"copyright\":\"All rights reserved\",\"isbn\":\"979-8-3503-9566-2\",\"shorttitle\":\"HeROcache\",\"url\":\"https://ieeexplore.ieee.org/document/10701415/\",\"doi\":\"10.1109/CCGrid59990.2024.00071\",\"abstract\":\"Intrusion Detection Systems (IDS) are time-sensitive applications that aim to classify potentially malicious network traffic. IDSs are part of a class of applications that rely on short-lived functions that can be run reactively and, as such, could be deployed on edge resources, to offload processing from energy-constrained battery-backed devices. The serverless service model could fit the needs of such applications, given that the platform allows adequate levels of Quality of Service (QoS) for a variety of users, since the criticality of IDS applications depends on several parameters. Deploying serverless functions on unreserved edge resources requires to pay particular attention to (1) initialization delays that could be significant on low resources platforms, (2) inter-function communication between edge nodes, and (3) heterogeneous devices. In this paper, we propose both a storage-aware allocation and scheduling policy that seek to minimize task placement costs for service providers on edge devices while optimizing QoS for IDS users. To do so, we propose a caching and consolidation strategy that minimizes cold starts and inter-function communication delays while satisfying QoS by leveraging heterogeneous edge resources. We evaluated our platform in a simulation environment using characterization data from real-world IDS tasks and execution platforms and compared it with a vanilla Knative orchestrator and a storage-agnostic policy. Our strategy achieves 18% fewer QoS penalties while consolidating applications across 80% fewer edge nodes.\",\"language\":\"en\",\"urldate\":\"2024-12-11\",\"booktitle\":\"2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid)\",\"publisher\":\"IEEE\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Lannurien\"],\"firstnames\":[\"Vincent\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Slimani\"],\"firstnames\":[\"Camélia\"],\"suffixes\":[]},{\"propositions\":[\"d’Orazio\"],\"lastnames\":[],\"firstnames\":[\"Laurent\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Barais\"],\"firstnames\":[\"Olivier\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Paquelet\"],\"firstnames\":[\"Stéphane\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Boukhobza\"],\"firstnames\":[\"Jalil\"],\"suffixes\":[]}],\"month\":\"May\",\"year\":\"2024\",\"pages\":\"587–597\",\"bibtex\":\"@inproceedings{lannurienHeROcacheStorageAwareScheduling2024,\\n\\taddress = {Philadelphia, PA, USA},\\n\\ttitle = {{HeROcache}: {Storage}-{Aware} {Scheduling} in {Heterogeneous} {Serverless} {Edge} – {The} {Case} of {IDS}},\\n\\tcopyright = {All rights reserved},\\n\\tisbn = {979-8-3503-9566-2},\\n\\tshorttitle = {{HeROcache}},\\n\\turl = {https://ieeexplore.ieee.org/document/10701415/},\\n\\tdoi = {10.1109/CCGrid59990.2024.00071},\\n\\tabstract = {Intrusion Detection Systems (IDS) are time-sensitive applications that aim to classify potentially malicious network traffic. IDSs are part of a class of applications that rely on short-lived functions that can be run reactively and, as such, could be deployed on edge resources, to offload processing from energy-constrained battery-backed devices. The serverless service model could fit the needs of such applications, given that the platform allows adequate levels of Quality of Service (QoS) for a variety of users, since the criticality of IDS applications depends on several parameters. Deploying serverless functions on unreserved edge resources requires to pay particular attention to (1) initialization delays that could be significant on low resources platforms, (2) inter-function communication between edge nodes, and (3) heterogeneous devices. In this paper, we propose both a storage-aware allocation and scheduling policy that seek to minimize task placement costs for service providers on edge devices while optimizing QoS for IDS users. To do so, we propose a caching and consolidation strategy that minimizes cold starts and inter-function communication delays while satisfying QoS by leveraging heterogeneous edge resources. We evaluated our platform in a simulation environment using characterization data from real-world IDS tasks and execution platforms and compared it with a vanilla Knative orchestrator and a storage-agnostic policy. Our strategy achieves 18\\\\% fewer QoS penalties while consolidating applications across 80\\\\% fewer edge nodes.},\\n\\tlanguage = {en},\\n\\turldate = {2024-12-11},\\n\\tbooktitle = {2024 {IEEE} 24th {International} {Symposium} on {Cluster}, {Cloud} and {Internet} {Computing} ({CCGrid})},\\n\\tpublisher = {IEEE},\\n\\tauthor = {Lannurien, Vincent and Slimani, Camélia and d’Orazio, Laurent and Barais, Olivier and Paquelet, Stéphane and Boukhobza, Jalil},\\n\\tmonth = may,\\n\\tyear = {2024},\\n\\tpages = {587--597},\\n}\\n\\n\\n\\n\",\"author_short\":[\"Lannurien, V.\",\"Slimani, C.\",\"d’Orazio , L.\",\"Barais, O.\",\"Paquelet, S.\",\"Boukhobza, J.\"],\"key\":\"lannurienHeROcacheStorageAwareScheduling2024\",\"id\":\"lannurienHeROcacheStorageAwareScheduling2024\",\"bibbaseid\":\"lannurien-slimani-dorazio-barais-paquelet-boukhobza-herocachestorageawareschedulinginheterogeneousserverlessedgethecaseofids-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://ieeexplore.ieee.org/document/10701415/\"},\"metadata\":{\"authorlinks\":{\"lannurien, v\":\"https://vincentlannurien.com/about/publications/\"}},\"html\":\"\"},{\"bibtype\":\"article\",\"type\":\"article\",\"title\":\"HeROsim: An Allocation and Scheduling Simulator for Evaluating Serverless Orchestration Policies\",\"copyright\":\"https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html\",\"issn\":\"1089-7801, 1941-0131\",\"shorttitle\":\"HeROsim\",\"url\":\"https://ieeexplore.ieee.org/document/10777556/\",\"doi\":\"10.1109/MIC.2024.3511332\",\"language\":\"en\",\"urldate\":\"2024-12-11\",\"journal\":\"IEEE Internet Computing\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Lannurien\"],\"firstnames\":[\"Vincent\"],\"suffixes\":[]},{\"propositions\":[\"d’Orazio\"],\"lastnames\":[],\"firstnames\":[\"Laurent\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Barais\"],\"firstnames\":[\"Olivier\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Paquelet\"],\"firstnames\":[\"Stephane\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Boukhobza\"],\"firstnames\":[\"Jalil\"],\"suffixes\":[]}],\"year\":\"2024\",\"pages\":\"1–9\",\"bibtex\":\"@article{lannurienHeROsimAllocationScheduling2024,\\n\\ttitle = {{HeROsim}: {An} {Allocation} and {Scheduling} {Simulator} for {Evaluating} {Serverless} {Orchestration} {Policies}},\\n\\tcopyright = {https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html},\\n\\tissn = {1089-7801, 1941-0131},\\n\\tshorttitle = {{HeROsim}},\\n\\turl = {https://ieeexplore.ieee.org/document/10777556/},\\n\\tdoi = {10.1109/MIC.2024.3511332},\\n\\tlanguage = {en},\\n\\turldate = {2024-12-11},\\n\\tjournal = {IEEE Internet Computing},\\n\\tauthor = {Lannurien, Vincent and d’Orazio, Laurent and Barais, Olivier and Paquelet, Stephane and Boukhobza, Jalil},\\n\\tyear = {2024},\\n\\tpages = {1--9},\\n}\\n\\n\\n\\n\",\"author_short\":[\"Lannurien, V.\",\"d’Orazio , L.\",\"Barais, O.\",\"Paquelet, S.\",\"Boukhobza, J.\"],\"key\":\"lannurienHeROsimAllocationScheduling2024\",\"id\":\"lannurienHeROsimAllocationScheduling2024\",\"bibbaseid\":\"lannurien-dorazio-barais-paquelet-boukhobza-herosimanallocationandschedulingsimulatorforevaluatingserverlessorchestrationpolicies-2024\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://ieeexplore.ieee.org/document/10777556/\"},\"metadata\":{\"authorlinks\":{\"lannurien, v\":\"https://vincentlannurien.com/about/publications/\"}},\"html\":\"\"},{\"bibtype\":\"incollection\",\"type\":\"incollection\",\"address\":\"Cham\",\"title\":\"Serverless Cloud Computing: State of the Art and Challenges\",\"volume\":\"162\",\"copyright\":\"All rights reserved\",\"isbn\":\"978-3-031-26632-4 978-3-031-26633-1\",\"shorttitle\":\"Serverless Cloud Computing\",\"url\":\"https://link.springer.com/10.1007/978-3-031-26633-1_11\",\"doi\":\"10.1007/978-3-031-26633-1_11\",\"abstract\":\"The serverless model represents a paradigm shift in the cloud: as opposed to traditional cloud computing service models, serverless customers do not reserve hardware resources. The execution of their code is event-driven (HTTP requests, cron jobs, etc.) and billing is based on actual resource usage. In return, the responsibility of resource allocation and task placement lies on the provider. While serverless in the wild is mainly advertised as a public cloud offering, solutions are actively developed and backed by solid actors in the industry to allow the development of private cloud serverless platforms. The first generation of serverless offerings, ”Function as a Service” (FaaS), has severe shortcomings that can offset the potential benefits for both customers and providers – in terms of spendings and reliability on the customer side, and in terms of resources multiplexing on the provider side. Circumventing these flaws would allow considerable savings in money and energy for both providers and tenants. This chapter aims at establishing a comprehensive tour of these limitations, and presenting state-of-the-art studies to mitigate weaknesses that are currently holding serverless back from becoming the de facto cloud computing model. The main challenges related to the deployment of such a cloud platform are discussed and some perspectives for future directions in research are given.\",\"language\":\"en\",\"urldate\":\"2024-06-19\",\"booktitle\":\"Serverless Computing: Principles and Paradigms\",\"publisher\":\"Springer International Publishing\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Lannurien\"],\"firstnames\":[\"Vincent\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"D’Orazio\"],\"firstnames\":[\"Laurent\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Barais\"],\"firstnames\":[\"Olivier\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Boukhobza\"],\"firstnames\":[\"Jalil\"],\"suffixes\":[]}],\"editor\":[{\"propositions\":[],\"lastnames\":[\"Krishnamurthi\"],\"firstnames\":[\"Rajalakshmi\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kumar\"],\"firstnames\":[\"Adarsh\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Gill\"],\"firstnames\":[\"Sukhpal\",\"Singh\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Buyya\"],\"firstnames\":[\"Rajkumar\"],\"suffixes\":[]}],\"year\":\"2023\",\"note\":\"Series Title: Lecture Notes on Data Engineering and Communications Technologies\",\"pages\":\"275–316\",\"bibtex\":\"@incollection{lannurienServerlessCloudComputing2023,\\n\\taddress = {Cham},\\n\\ttitle = {Serverless {Cloud} {Computing}: {State} of the {Art} and {Challenges}},\\n\\tvolume = {162},\\n\\tcopyright = {All rights reserved},\\n\\tisbn = {978-3-031-26632-4 978-3-031-26633-1},\\n\\tshorttitle = {Serverless {Cloud} {Computing}},\\n\\turl = {https://link.springer.com/10.1007/978-3-031-26633-1_11},\\n\\tdoi = {10.1007/978-3-031-26633-1_11},\\n\\tabstract = {The serverless model represents a paradigm shift in the cloud: as opposed to traditional cloud computing service models, serverless customers do not reserve hardware resources. The execution of their code is event-driven (HTTP requests, cron jobs, etc.) and billing is based on actual resource usage. In return, the responsibility of resource allocation and task placement lies on the provider. While serverless in the wild is mainly advertised as a public cloud offering, solutions are actively developed and backed by solid actors in the industry to allow the development of private cloud serverless platforms. The first generation of serverless offerings, ”Function as a Service” (FaaS), has severe shortcomings that can offset the potential benefits for both customers and providers – in terms of spendings and reliability on the customer side, and in terms of resources multiplexing on the provider side. Circumventing these flaws would allow considerable savings in money and energy for both providers and tenants. This chapter aims at establishing a comprehensive tour of these limitations, and presenting state-of-the-art studies to mitigate weaknesses that are currently holding serverless back from becoming the de facto cloud computing model. The main challenges related to the deployment of such a cloud platform are discussed and some perspectives for future directions in research are given.},\\n\\tlanguage = {en},\\n\\turldate = {2024-06-19},\\n\\tbooktitle = {Serverless {Computing}: {Principles} and {Paradigms}},\\n\\tpublisher = {Springer International Publishing},\\n\\tauthor = {Lannurien, Vincent and D’Orazio, Laurent and Barais, Olivier and Boukhobza, Jalil},\\n\\teditor = {Krishnamurthi, Rajalakshmi and Kumar, Adarsh and Gill, Sukhpal Singh and Buyya, Rajkumar},\\n\\tyear = {2023},\\n\\tnote = {Series Title: Lecture Notes on Data Engineering and Communications Technologies},\\n\\tpages = {275--316},\\n}\\n\\n\\n\\n\",\"author_short\":[\"Lannurien, V.\",\"D’Orazio, L.\",\"Barais, O.\",\"Boukhobza, J.\"],\"editor_short\":[\"Krishnamurthi, R.\",\"Kumar, A.\",\"Gill, S. S.\",\"Buyya, R.\"],\"key\":\"lannurienServerlessCloudComputing2023\",\"id\":\"lannurienServerlessCloudComputing2023\",\"bibbaseid\":\"lannurien-dorazio-barais-boukhobza-serverlesscloudcomputingstateoftheartandchallenges-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://link.springer.com/10.1007/978-3-031-26633-1_11\"},\"metadata\":{\"authorlinks\":{\"lannurien, v\":\"https://vincentlannurien.com/about/publications/\"}},\"html\":\"\"},{\"bibtype\":\"inproceedings\",\"type\":\"inproceedings\",\"address\":\"Bangalore, India\",\"title\":\"HeROfake: Heterogeneous Resources Orchestration in a Serverless Cloud – An Application to Deepfake Detection\",\"copyright\":\"https://doi.org/10.15223/policy-029\",\"isbn\":\"979-8-3503-0119-9\",\"shorttitle\":\"HeROfake\",\"url\":\"https://ieeexplore.ieee.org/document/10171518/\",\"doi\":\"10.1109/CCGrid57682.2023.00024\",\"abstract\":\"Serverless is a trending service model for cloud computing. It shifts a lot of the complexity from customers to service providers. However, current serverless platforms mostly consider the provider’s infrastructure as homogeneous, as well as the users’ requests. This limits possibilities for the provider to leverage heterogeneity in their infrastructure to improve function response time and reduce energy consumption. We propose a heterogeneity-aware serverless orchestrator for private clouds that consists of two components: the autoscaler allocates heterogeneous hardware resources (CPUs, GPUs, FPGAs) for function replicas, while the scheduler maps function executions to these replicas. Our objective is to guarantee function response time, while enabling the provider to reduce resource usage and energy consumption. This work considers a case study for a deepfake detection application relying on CNN inference. We devised a simulation environment that implements our model and a baseline Knative orchestrator, and evaluated both policies with regard to consolidation of tasks, energy consumption and SLA penalties. Experimental results show that our platform yields substantial gains for all those metrics, with an average of 35% less energy consumed for function executions while consolidating tasks on less than 40% of the infrastructure’s nodes, and more than 60% less SLA violations.\",\"language\":\"en\",\"urldate\":\"2024-06-19\",\"booktitle\":\"2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid)\",\"publisher\":\"IEEE\",\"author\":[{\"propositions\":[],\"lastnames\":[\"Lannurien\"],\"firstnames\":[\"Vincent\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"D'Orazio\"],\"firstnames\":[\"Laurent\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Barais\"],\"firstnames\":[\"Olivier\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Bernard\"],\"firstnames\":[\"Esther\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Weppe\"],\"firstnames\":[\"Olivier\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Beaulieu\"],\"firstnames\":[\"Laurent\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Kacete\"],\"firstnames\":[\"Amine\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Paquelet\"],\"firstnames\":[\"Stéphane\"],\"suffixes\":[]},{\"propositions\":[],\"lastnames\":[\"Boukhobza\"],\"firstnames\":[\"Jalil\"],\"suffixes\":[]}],\"month\":\"May\",\"year\":\"2023\",\"pages\":\"154–165\",\"bibtex\":\"@inproceedings{lannurienHeROfakeHeterogeneousResources2023,\\n\\taddress = {Bangalore, India},\\n\\ttitle = {{HeROfake}: {Heterogeneous} {Resources} {Orchestration} in a {Serverless} {Cloud} – {An} {Application} to {Deepfake} {Detection}},\\n\\tcopyright = {https://doi.org/10.15223/policy-029},\\n\\tisbn = {979-8-3503-0119-9},\\n\\tshorttitle = {{HeROfake}},\\n\\turl = {https://ieeexplore.ieee.org/document/10171518/},\\n\\tdoi = {10.1109/CCGrid57682.2023.00024},\\n\\tabstract = {Serverless is a trending service model for cloud computing. It shifts a lot of the complexity from customers to service providers. However, current serverless platforms mostly consider the provider’s infrastructure as homogeneous, as well as the users’ requests. This limits possibilities for the provider to leverage heterogeneity in their infrastructure to improve function response time and reduce energy consumption. We propose a heterogeneity-aware serverless orchestrator for private clouds that consists of two components: the autoscaler allocates heterogeneous hardware resources (CPUs, GPUs, FPGAs) for function replicas, while the scheduler maps function executions to these replicas. Our objective is to guarantee function response time, while enabling the provider to reduce resource usage and energy consumption. This work considers a case study for a deepfake detection application relying on CNN inference. We devised a simulation environment that implements our model and a baseline Knative orchestrator, and evaluated both policies with regard to consolidation of tasks, energy consumption and SLA penalties. Experimental results show that our platform yields substantial gains for all those metrics, with an average of 35\\\\% less energy consumed for function executions while consolidating tasks on less than 40\\\\% of the infrastructure’s nodes, and more than 60\\\\% less SLA violations.},\\n\\tlanguage = {en},\\n\\turldate = {2024-06-19},\\n\\tbooktitle = {2023 {IEEE}/{ACM} 23rd {International} {Symposium} on {Cluster}, {Cloud} and {Internet} {Computing} ({CCGrid})},\\n\\tpublisher = {IEEE},\\n\\tauthor = {Lannurien, Vincent and D'Orazio, Laurent and Barais, Olivier and Bernard, Esther and Weppe, Olivier and Beaulieu, Laurent and Kacete, Amine and Paquelet, Stéphane and Boukhobza, Jalil},\\n\\tmonth = may,\\n\\tyear = {2023},\\n\\tpages = {154--165},\\n}\\n\",\"author_short\":[\"Lannurien, V.\",\"D'Orazio, L.\",\"Barais, O.\",\"Bernard, E.\",\"Weppe, O.\",\"Beaulieu, L.\",\"Kacete, A.\",\"Paquelet, S.\",\"Boukhobza, J.\"],\"key\":\"lannurienHeROfakeHeterogeneousResources2023\",\"id\":\"lannurienHeROfakeHeterogeneousResources2023\",\"bibbaseid\":\"lannurien-dorazio-barais-bernard-weppe-beaulieu-kacete-paquelet-etal-herofakeheterogeneousresourcesorchestrationinaserverlesscloudanapplicationtodeepfakedetection-2023\",\"role\":\"author\",\"urls\":{\"Paper\":\"https://ieeexplore.ieee.org/document/10171518/\"},\"metadata\":{\"authorlinks\":{\"lannurien, v\":\"https://vincentlannurien.com/about/publications/\"}},\"html\":\"\"}],\n      metadata: {\"owner\":\"lannurien, v\",\"authorlinks\":{\"lannurien, v\":\"https://vincentlannurien.com/about/publications/\"}},\n      ownerID: \"Ks2r5kLPZ26RfKnpF\"\n    };\n  </script>\n\n  <script type=\"text/javascript\">\n  var site$;\n  if (typeof $ != 'undefined') {\n    console.log('existing jquery: storing and then restoring');\n    site$ = $;\n    $ = null;\n  }\n  </script>\n\n  <script src=\"https://ajax.googleapis.com/ajax/libs/jquery/2.2.4/jquery.min.js\">\n  </script>\n  <script type=\"text/javascript\">\n  if (site$) {\n    console.log('existing jquery: avoiding conflict and restoring');\n    bb$ = $.noConflict(true);\n    $ = site$;\n  } else {\n    bb$ = $;\n  }\n  </script>\n\n  <script src=\"//bibbase.org/js/bibbase.min.js\"\n          type=\"text/javascript\">\n  </script>\n\n  <script type=\"text/javascript\"\n          src=\"https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.1/MathJax.js?config=TeX-AMS-MML_HTMLorMML\">\n  </script>\n  <script type=\"text/x-mathjax-config\">\n    MathJax.Hub.Config({tex2jax: {inlineMath: [['$','$'], ['\\\\(','\\\\)']]},\n                        skipTags: [\"body\"],\n                        processClass: \"bibbase_paper\"});\n  </script>\n\n  <style>\n  @media print {\n    .dontprint {\n        display: none !important;\n    }\n\n  .bibbase_group {\n    background-color: #E0E0E0;\n    font-style: italic;\n    font-size: larger;\n    text-shadow: 0px 0px 3px #FFFFFF;\n    border-radius: 4px 4px 4px 4px;\n    -moz-border-radius: 4px 4px 4px 4px;\n    -webkit-border-radius: 4px;\n    padding: 5px 40px 5px;\n    margin-top: 10px;\n    margin-bottom: 5px;\n    cursor: pointer;\n  }\n\n  .bibbase_paper {\n    margin-bottom: 5px;\n  }\n\n  }\n  </style>\n\n  \n  <div style=\"float: right; margin-right: 10px; margin-top: 10px; text-align: right; font-size: 12px\">\n    generated by\n    <a href=\"//bibbase.org\"\n       onclick=\"trackOutboundLink('bibbase', 'logo clicked', window.location.href, '//bibbase.org'); return false;\">\n      <img src=\"//bibbase.org/img/logo.svg\"\n           style=\"vertical-align: middle; margin-left: 3px; height: 16px;\"/\n           alt=\"bibbase.org\"\n           title=\"BibBase – The easiest way to maintain your publications page.\"\n        ></a>\n    \n  </div>\n  \n\n  <div id=\"bibbase_header\" class=\"dontprint\" style=\"\">\n\n    <ul class=\"nav nav-pills\" style=\"margin: 0px;\">\n\n      <li class=\"dropdown\" id=\"groupby_dropdown\">\n      <a class=\"dropdown-toggle\"\n         data-toggle=\"dropdown\"\n         aria-label=\"group-by menu toggle\"\n         href=\"#\">\n          Group by\n          <b class=\"caret\"></b>\n      </a>\n      <ul class=\"dropdown-menu\">\n        <li class=\"groupby year\"><a onclick=\"groupby('year')\">\n            Year</a>\n        </li>\n        <li class=\"groupby author\"><a onclick=\"groupby('author_short')\">\n            Author</a>\n        </li>\n        <li class=\"groupby type\"><a onclick=\"groupby('type')\">\n            Type</a>\n        </li>\n        <li class=\"groupby keyword\"><a onclick=\"groupby('keyword')\">\n            Keyword</a>\n        </li>\n        <li class=\"groupby downloads\"><a onclick=\"groupby('downloads')\">\n            Downloads</a>\n        </li>\n      </ul>\n      </li>\n\n\n      <li class=\"dropdown\" id=\"menu_dropdown\">\n      <a class=\"dropdown-toggle\"\n         data-toggle=\"dropdown\"\n         aria-label=\"other options menu toggle\"\n         href=\"#\" alt=\"controls\">\n          <i class=\"fa fa-reorder\" alt=\"controls\"></i>\n          <b class=\"caret\"></b>\n      </a>\n      <ul class=\"dropdown-menu\">\n        <li>\n          <a onclick=\"toggleAll()\">\n            <i class=\"fa fa-chevron-down fa-fw\"></i> Expand/Collapse All\n          </a>\n        </li>\n        <li>\n          <a download=\"khannurien\" href=\"data:text/bibtex;base64,@article{morge-rolletIDSDEEPStrategiesSelecting2026,
	title = {{IDS}-{DEEP}..: strategies for selecting the best {IDS} for {Drones} with heterogeneous or homogeneous {EmbEdded} {Parallel} {Platforms}},
	issn = {07437315},
	shorttitle = {{IDS}-{DEEP}..},
	url = {https://linkinghub.elsevier.com/retrieve/pii/S0743731526001425},
	doi = {10.1016/j.jpdc.2026.105364},
	abstract = {Nowadays, swarms of drones are gaining a lot of interest for critical missions like search and rescue. They can be composed of several types of drones, with potentially different processing capabilities to successfully perform various computing tasks. In particular, some may use heterogeneous computing platforms, while others may rely on homogeneous parallel ones.},
	language = {en},
	urldate = {2026-10-04},
	journal = {Journal of Parallel and Distributed Computing},
	author = {Morge-Rollet, Louis and Slimani, Camélia and Garreau, Pierre and Lemarchand, Laurent and Lannurien, Vincent and Cotret, Pascal and Espes, David and Le Roy, Frédéric and Francq, Julien and Boukhobza, Jalil},
	month = oct,
	year = {2026},
	pages = {105364},
}









@misc{lannurienRetrospectiveDISPEEDLeveraging2025,
	title = {A retrospective on {DISPEED} -- {Leveraging} heterogeneity in a drone swarm for {IDS} execution},
	url = {http://arxiv.org/abs/2506.11800},
	doi = {10.48550/arXiv.2506.11800},
	abstract = {Swarms of drones are gaining more and more autonomy and efficiency during their missions. However, security threats can disrupt their missions' progression. To overcome this problem, Network Intrusion Detection Systems ((N)IDS) are promising solutions to detect malicious behavior on network traffic. However, modern NIDS rely on resource-hungry machine learning techniques, that can be difficult to deploy on a swarm of drones. The goal of the DISPEED project is to leverage the heterogeneity (execution platforms, memory) of the drones composing a swarm to deploy NIDS. It is decomposed in two phases: (1) a characterization phase that consists in characterizing various IDS implementations on diverse embedded platforms, and (2) an IDS implementation mapping phase that seeks to develop selection strategies to choose the most relevant NIDS depending on the context. On the one hand, the characterization phase allowed us to identify 36 relevant IDS implementations on three different embedded platforms: a Raspberry Pi 4B, a Jetson Xavier, and a Pynq-Z2. On the other hand, the IDS implementation mapping phase allowed us to design both standalone and distributed strategies to choose the best NIDSs to deploy depending on the context. The results of the project have led to three publications in international conferences, and one publication in a journal.},
	urldate = {2026-09-08},
	publisher = {arXiv},
	author = {Lannurien, Vincent and Slimani, Camélia and Morge-Rollet, Louis and Lemarchand, Laurent and Espes, David and Roy, Frédéric Le and Boukhobza, Jalil},
	month = jun,
	year = {2025},
	note = {arXiv:2506.11800 [cs.DC]},
}





@article{lannurienAllocationPlacementDynamiques,
	title = {Allocation et placement dynamiques sur ressources hétérogènes pour le cloud serverless},
	language = {fr},
	author = {Lannurien, Vincent},
}













@inproceedings{lannurienHeROcacheStorageAwareScheduling2024,
	address = {Philadelphia, PA, USA},
	title = {{HeROcache}: {Storage}-{Aware} {Scheduling} in {Heterogeneous} {Serverless} {Edge} – {The} {Case} of {IDS}},
	copyright = {All rights reserved},
	isbn = {979-8-3503-9566-2},
	shorttitle = {{HeROcache}},
	url = {https://ieeexplore.ieee.org/document/10701415/},
	doi = {10.1109/CCGrid59990.2024.00071},
	abstract = {Intrusion Detection Systems (IDS) are time-sensitive applications that aim to classify potentially malicious network traffic. IDSs are part of a class of applications that rely on short-lived functions that can be run reactively and, as such, could be deployed on edge resources, to offload processing from energy-constrained battery-backed devices. The serverless service model could fit the needs of such applications, given that the platform allows adequate levels of Quality of Service (QoS) for a variety of users, since the criticality of IDS applications depends on several parameters. Deploying serverless functions on unreserved edge resources requires to pay particular attention to (1) initialization delays that could be significant on low resources platforms, (2) inter-function communication between edge nodes, and (3) heterogeneous devices. In this paper, we propose both a storage-aware allocation and scheduling policy that seek to minimize task placement costs for service providers on edge devices while optimizing QoS for IDS users. To do so, we propose a caching and consolidation strategy that minimizes cold starts and inter-function communication delays while satisfying QoS by leveraging heterogeneous edge resources. We evaluated our platform in a simulation environment using characterization data from real-world IDS tasks and execution platforms and compared it with a vanilla Knative orchestrator and a storage-agnostic policy. Our strategy achieves 18\% fewer QoS penalties while consolidating applications across 80\% fewer edge nodes.},
	language = {en},
	urldate = {2024-12-11},
	booktitle = {2024 {IEEE} 24th {International} {Symposium} on {Cluster}, {Cloud} and {Internet} {Computing} ({CCGrid})},
	publisher = {IEEE},
	author = {Lannurien, Vincent and Slimani, Camélia and d’Orazio, Laurent and Barais, Olivier and Paquelet, Stéphane and Boukhobza, Jalil},
	month = may,
	year = {2024},
	pages = {587--597},
}





@article{lannurienHeROsimAllocationScheduling2024,
	title = {{HeROsim}: {An} {Allocation} and {Scheduling} {Simulator} for {Evaluating} {Serverless} {Orchestration} {Policies}},
	copyright = {https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html},
	issn = {1089-7801, 1941-0131},
	shorttitle = {{HeROsim}},
	url = {https://ieeexplore.ieee.org/document/10777556/},
	doi = {10.1109/MIC.2024.3511332},
	language = {en},
	urldate = {2024-12-11},
	journal = {IEEE Internet Computing},
	author = {Lannurien, Vincent and d’Orazio, Laurent and Barais, Olivier and Paquelet, Stephane and Boukhobza, Jalil},
	year = {2024},
	pages = {1--9},
}





@incollection{lannurienServerlessCloudComputing2023,
	address = {Cham},
	title = {Serverless {Cloud} {Computing}: {State} of the {Art} and {Challenges}},
	volume = {162},
	copyright = {All rights reserved},
	isbn = {978-3-031-26632-4 978-3-031-26633-1},
	shorttitle = {Serverless {Cloud} {Computing}},
	url = {https://link.springer.com/10.1007/978-3-031-26633-1_11},
	doi = {10.1007/978-3-031-26633-1_11},
	abstract = {The serverless model represents a paradigm shift in the cloud: as opposed to traditional cloud computing service models, serverless customers do not reserve hardware resources. The execution of their code is event-driven (HTTP requests, cron jobs, etc.) and billing is based on actual resource usage. In return, the responsibility of resource allocation and task placement lies on the provider. While serverless in the wild is mainly advertised as a public cloud offering, solutions are actively developed and backed by solid actors in the industry to allow the development of private cloud serverless platforms. The first generation of serverless offerings, ”Function as a Service” (FaaS), has severe shortcomings that can offset the potential benefits for both customers and providers – in terms of spendings and reliability on the customer side, and in terms of resources multiplexing on the provider side. Circumventing these flaws would allow considerable savings in money and energy for both providers and tenants. This chapter aims at establishing a comprehensive tour of these limitations, and presenting state-of-the-art studies to mitigate weaknesses that are currently holding serverless back from becoming the de facto cloud computing model. The main challenges related to the deployment of such a cloud platform are discussed and some perspectives for future directions in research are given.},
	language = {en},
	urldate = {2024-06-19},
	booktitle = {Serverless {Computing}: {Principles} and {Paradigms}},
	publisher = {Springer International Publishing},
	author = {Lannurien, Vincent and D’Orazio, Laurent and Barais, Olivier and Boukhobza, Jalil},
	editor = {Krishnamurthi, Rajalakshmi and Kumar, Adarsh and Gill, Sukhpal Singh and Buyya, Rajkumar},
	year = {2023},
	note = {Series Title: Lecture Notes on Data Engineering and Communications Technologies},
	pages = {275--316},
}





@inproceedings{lannurienHeROfakeHeterogeneousResources2023,
	address = {Bangalore, India},
	title = {{HeROfake}: {Heterogeneous} {Resources} {Orchestration} in a {Serverless} {Cloud} – {An} {Application} to {Deepfake} {Detection}},
	copyright = {https://doi.org/10.15223/policy-029},
	isbn = {979-8-3503-0119-9},
	shorttitle = {{HeROfake}},
	url = {https://ieeexplore.ieee.org/document/10171518/},
	doi = {10.1109/CCGrid57682.2023.00024},
	abstract = {Serverless is a trending service model for cloud computing. It shifts a lot of the complexity from customers to service providers. However, current serverless platforms mostly consider the provider’s infrastructure as homogeneous, as well as the users’ requests. This limits possibilities for the provider to leverage heterogeneity in their infrastructure to improve function response time and reduce energy consumption. We propose a heterogeneity-aware serverless orchestrator for private clouds that consists of two components: the autoscaler allocates heterogeneous hardware resources (CPUs, GPUs, FPGAs) for function replicas, while the scheduler maps function executions to these replicas. Our objective is to guarantee function response time, while enabling the provider to reduce resource usage and energy consumption. This work considers a case study for a deepfake detection application relying on CNN inference. We devised a simulation environment that implements our model and a baseline Knative orchestrator, and evaluated both policies with regard to consolidation of tasks, energy consumption and SLA penalties. Experimental results show that our platform yields substantial gains for all those metrics, with an average of 35\% less energy consumed for function executions while consolidating tasks on less than 40\% of the infrastructure’s nodes, and more than 60\% less SLA violations.},
	language = {en},
	urldate = {2024-06-19},
	booktitle = {2023 {IEEE}/{ACM} 23rd {International} {Symposium} on {Cluster}, {Cloud} and {Internet} {Computing} ({CCGrid})},
	publisher = {IEEE},
	author = {Lannurien, Vincent and D'Orazio, Laurent and Barais, Olivier and Bernard, Esther and Weppe, Olivier and Beaulieu, Laurent and Kacete, Amine and Paquelet, Stéphane and Boukhobza, Jalil},
	month = may,
	year = {2023},
	pages = {154--165},
}
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In order to keep using Mendeley with BibBase past April\n        14th, you need to:\n        <ol>\n          <li>renew the authorization for BibBase on Mendeley, and</li>\n          <li>update the BibBase URL\n            in your page the same way you did when you initially set up\n            this page.\n          </li>\n        </ol>\n      </p>\n\n      <p>\n        <a href=\"http://bibbase.org/cgi-bin/mendeley2/get.py\">\n          <i class=\"fa fa-angle-double-right\"></i>\n          Fix it now</a>\n      </p>\n    </div>\n\n  </div>\n\n\n  <div id=\"bibbase_body\">\n    \n  \n  <div class=\"bibbase_group_whole\" id=\"group_2026\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2026')\"\n      onkeypress=\"toggleGroup('group_2026')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2026</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"morgerollet-slimani-garreau-lemarchand-lannurien-cotret-espes-leroy-etal-idsdeepstrategiesforselectingthebestidsfordroneswithheterogeneousorhomogeneousembeddedparallelplatforms-2026\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S0743731526001425\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'morgerollet-slimani-garreau-lemarchand-lannurien-cotret-espes-leroy-etal-idsdeepstrategiesforselectingthebestidsfordroneswithheterogeneousorhomogeneousembeddedparallelplatforms-2026', 'https://linkinghub.elsevier.com/retrieve/pii/S0743731526001425', event);\">\n    IDS-DEEP..: strategies for selecting the best IDS for Drones with heterogeneous or homogeneous EmbEdded Parallel Platforms.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  Morge-Rollet, L.; Slimani, C.; Garreau, P.; Lemarchand, L.; <a class=\"bibbase author link\" href=\"https://vincentlannurien.com/about/publications/\">Lannurien, V.</a>; Cotret, P.; Espes, D.; Le Roy, F.; Francq, J.;  and Boukhobza, J.\n</span>\n\n  \n\n</span>\n\n  <i>Journal of Parallel and Distributed Computing</i>,105364. October 2026.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://linkinghub.elsevier.com/retrieve/pii/S0743731526001425\"\n     onclick=\"log_download('morgerollet-slimani-garreau-lemarchand-lannurien-cotret-espes-leroy-etal-idsdeepstrategiesforselectingthebestidsfordroneswithheterogeneousorhomogeneousembeddedparallelplatforms-2026', 'https://linkinghub.elsevier.com/retrieve/pii/S0743731526001425', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"IDS-DEEP..: strategies for selecting the best IDS for Drones with heterogeneous or homogeneous EmbEdded Parallel Platforms [link]\"\n       title=\"Paper\"\n       style=\"max-height: 1em;\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1016/j.jpdc.2026.105364\"\n     onclick=\"log_download('morgerollet-slimani-garreau-lemarchand-lannurien-cotret-espes-leroy-etal-idsdeepstrategiesforselectingthebestidsfordroneswithheterogeneousorhomogeneousembeddedparallelplatforms-2026', 'http://doi.org/10.1016/j.jpdc.2026.105364', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/morgerollet-slimani-garreau-lemarchand-lannurien-cotret-espes-leroy-etal-idsdeepstrategiesforselectingthebestidsfordroneswithheterogeneousorhomogeneousembeddedparallelplatforms-2026\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('morgerollet-slimani-garreau-lemarchand-lannurien-cotret-espes-leroy-etal-idsdeepstrategiesforselectingthebestidsfordroneswithheterogeneousorhomogeneousembeddedparallelplatforms-2026')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{morge-rolletIDSDEEPStrategiesSelecting2026,\n\ttitle = {{IDS}-{DEEP}..: strategies for selecting the best {IDS} for {Drones} with heterogeneous or homogeneous {EmbEdded} {Parallel} {Platforms}},\n\tissn = {07437315},\n\tshorttitle = {{IDS}-{DEEP}..},\n\turl = {https://linkinghub.elsevier.com/retrieve/pii/S0743731526001425},\n\tdoi = {10.1016/j.jpdc.2026.105364},\n\tabstract = {Nowadays, swarms of drones are gaining a lot of interest for critical missions like search and rescue. They can be composed of several types of drones, with potentially different processing capabilities to successfully perform various computing tasks. In particular, some may use heterogeneous computing platforms, while others may rely on homogeneous parallel ones.},\n\tlanguage = {en},\n\turldate = {2026-10-04},\n\tjournal = {Journal of Parallel and Distributed Computing},\n\tauthor = {Morge-Rollet, Louis and Slimani, Camélia and Garreau, Pierre and Lemarchand, Laurent and Lannurien, Vincent and Cotret, Pascal and Espes, David and Le Roy, Frédéric and Francq, Julien and Boukhobza, Jalil},\n\tmonth = oct,\n\tyear = {2026},\n\tpages = {105364},\n}\n\n\n\n\n\n\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Nowadays, swarms of drones are gaining a lot of interest for critical missions like search and rescue. They can be composed of several types of drones, with potentially different processing capabilities to successfully perform various computing tasks. In particular, some may use heterogeneous computing platforms, while others may rely on homogeneous parallel ones.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2025\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2025')\"\n      onkeypress=\"toggleGroup('group_2025')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2025</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"lannurien-slimani-morgerollet-lemarchand-espes-roy-boukhobza-aretrospectiveondispeedleveragingheterogeneityinadroneswarmforidsexecution-2025\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"http://arxiv.org/abs/2506.11800\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lannurien-slimani-morgerollet-lemarchand-espes-roy-boukhobza-aretrospectiveondispeedleveragingheterogeneityinadroneswarmforidsexecution-2025', 'http://arxiv.org/abs/2506.11800', event);\">\n    A retrospective on DISPEED – Leveraging heterogeneity in a drone swarm for IDS execution.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://vincentlannurien.com/about/publications/\">Lannurien, V.</a>; Slimani, C.; Morge-Rollet, L.; Lemarchand, L.; Espes, D.; Roy, F. L.;  and Boukhobza, J.\n</span>\n\n  \n\n</span>\n\n  June 2025.\n  <span class=\"note\">arXiv:2506.11800 [cs.DC]</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"http://arxiv.org/abs/2506.11800\"\n     onclick=\"log_download('lannurien-slimani-morgerollet-lemarchand-espes-roy-boukhobza-aretrospectiveondispeedleveragingheterogeneityinadroneswarmforidsexecution-2025', 'http://arxiv.org/abs/2506.11800', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"A retrospective on DISPEED – Leveraging heterogeneity in a drone swarm for IDS execution [link]\"\n       title=\"Paper\"\n       style=\"max-height: 1em;\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.48550/arXiv.2506.11800\"\n     onclick=\"log_download('lannurien-slimani-morgerollet-lemarchand-espes-roy-boukhobza-aretrospectiveondispeedleveragingheterogeneityinadroneswarmforidsexecution-2025', 'http://doi.org/10.48550/arXiv.2506.11800', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lannurien-slimani-morgerollet-lemarchand-espes-roy-boukhobza-aretrospectiveondispeedleveragingheterogeneityinadroneswarmforidsexecution-2025\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lannurien-slimani-morgerollet-lemarchand-espes-roy-boukhobza-aretrospectiveondispeedleveragingheterogeneityinadroneswarmforidsexecution-2025')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@misc{lannurienRetrospectiveDISPEEDLeveraging2025,\n\ttitle = {A retrospective on {DISPEED} -- {Leveraging} heterogeneity in a drone swarm for {IDS} execution},\n\turl = {http://arxiv.org/abs/2506.11800},\n\tdoi = {10.48550/arXiv.2506.11800},\n\tabstract = {Swarms of drones are gaining more and more autonomy and efficiency during their missions. However, security threats can disrupt their missions&#x27; progression. To overcome this problem, Network Intrusion Detection Systems ((N)IDS) are promising solutions to detect malicious behavior on network traffic. However, modern NIDS rely on resource-hungry machine learning techniques, that can be difficult to deploy on a swarm of drones. The goal of the DISPEED project is to leverage the heterogeneity (execution platforms, memory) of the drones composing a swarm to deploy NIDS. It is decomposed in two phases: (1) a characterization phase that consists in characterizing various IDS implementations on diverse embedded platforms, and (2) an IDS implementation mapping phase that seeks to develop selection strategies to choose the most relevant NIDS depending on the context. On the one hand, the characterization phase allowed us to identify 36 relevant IDS implementations on three different embedded platforms: a Raspberry Pi 4B, a Jetson Xavier, and a Pynq-Z2. On the other hand, the IDS implementation mapping phase allowed us to design both standalone and distributed strategies to choose the best NIDSs to deploy depending on the context. The results of the project have led to three publications in international conferences, and one publication in a journal.},\n\turldate = {2026-09-08},\n\tpublisher = {arXiv},\n\tauthor = {Lannurien, Vincent and Slimani, Camélia and Morge-Rollet, Louis and Lemarchand, Laurent and Espes, David and Roy, Frédéric Le and Boukhobza, Jalil},\n\tmonth = jun,\n\tyear = {2025},\n\tnote = {arXiv:2506.11800 [cs.DC]},\n}\n\n\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Swarms of drones are gaining more and more autonomy and efficiency during their missions. However, security threats can disrupt their missions' progression. To overcome this problem, Network Intrusion Detection Systems ((N)IDS) are promising solutions to detect malicious behavior on network traffic. However, modern NIDS rely on resource-hungry machine learning techniques, that can be difficult to deploy on a swarm of drones. The goal of the DISPEED project is to leverage the heterogeneity (execution platforms, memory) of the drones composing a swarm to deploy NIDS. It is decomposed in two phases: (1) a characterization phase that consists in characterizing various IDS implementations on diverse embedded platforms, and (2) an IDS implementation mapping phase that seeks to develop selection strategies to choose the most relevant NIDS depending on the context. On the one hand, the characterization phase allowed us to identify 36 relevant IDS implementations on three different embedded platforms: a Raspberry Pi 4B, a Jetson Xavier, and a Pynq-Z2. On the other hand, the IDS implementation mapping phase allowed us to design both standalone and distributed strategies to choose the best NIDSs to deploy depending on the context. The results of the project have led to three publications in international conferences, and one publication in a journal.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2024\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2024')\"\n      onkeypress=\"toggleGroup('group_2024')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2024</span>\n      <span class=\"bibbase_group_count\">\n        \n        (2)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"lannurien-slimani-dorazio-barais-paquelet-boukhobza-herocachestorageawareschedulinginheterogeneousserverlessedgethecaseofids-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://ieeexplore.ieee.org/document/10701415/\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lannurien-slimani-dorazio-barais-paquelet-boukhobza-herocachestorageawareschedulinginheterogeneousserverlessedgethecaseofids-2024', 'https://ieeexplore.ieee.org/document/10701415/', event);\">\n    HeROcache: Storage-Aware Scheduling in Heterogeneous Serverless Edge – The Case of IDS.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://vincentlannurien.com/about/publications/\">Lannurien, V.</a>; Slimani, C.; d’Orazio , L.; Barais, O.; Paquelet, S.;  and Boukhobza, J.\n</span>\n\n  \n\n</span>\n\n  In <i>2024 IEEE 24th International Symposium on Cluster, Cloud and Internet Computing (CCGrid)</i>, pages 587–597, Philadelphia, PA, USA, May 2024. IEEE\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://ieeexplore.ieee.org/document/10701415/\"\n     onclick=\"log_download('lannurien-slimani-dorazio-barais-paquelet-boukhobza-herocachestorageawareschedulinginheterogeneousserverlessedgethecaseofids-2024', 'https://ieeexplore.ieee.org/document/10701415/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"HeROcache: Storage-Aware Scheduling in Heterogeneous Serverless Edge – The Case of IDS [link]\"\n       title=\"Paper\"\n       style=\"max-height: 1em;\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1109/CCGrid59990.2024.00071\"\n     onclick=\"log_download('lannurien-slimani-dorazio-barais-paquelet-boukhobza-herocachestorageawareschedulinginheterogeneousserverlessedgethecaseofids-2024', 'http://doi.org/10.1109/CCGrid59990.2024.00071', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lannurien-slimani-dorazio-barais-paquelet-boukhobza-herocachestorageawareschedulinginheterogeneousserverlessedgethecaseofids-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lannurien-slimani-dorazio-barais-paquelet-boukhobza-herocachestorageawareschedulinginheterogeneousserverlessedgethecaseofids-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{lannurienHeROcacheStorageAwareScheduling2024,\n\taddress = {Philadelphia, PA, USA},\n\ttitle = {{HeROcache}: {Storage}-{Aware} {Scheduling} in {Heterogeneous} {Serverless} {Edge} – {The} {Case} of {IDS}},\n\tcopyright = {All rights reserved},\n\tisbn = {979-8-3503-9566-2},\n\tshorttitle = {{HeROcache}},\n\turl = {https://ieeexplore.ieee.org/document/10701415/},\n\tdoi = {10.1109/CCGrid59990.2024.00071},\n\tabstract = {Intrusion Detection Systems (IDS) are time-sensitive applications that aim to classify potentially malicious network traffic. IDSs are part of a class of applications that rely on short-lived functions that can be run reactively and, as such, could be deployed on edge resources, to offload processing from energy-constrained battery-backed devices. The serverless service model could fit the needs of such applications, given that the platform allows adequate levels of Quality of Service (QoS) for a variety of users, since the criticality of IDS applications depends on several parameters. Deploying serverless functions on unreserved edge resources requires to pay particular attention to (1) initialization delays that could be significant on low resources platforms, (2) inter-function communication between edge nodes, and (3) heterogeneous devices. In this paper, we propose both a storage-aware allocation and scheduling policy that seek to minimize task placement costs for service providers on edge devices while optimizing QoS for IDS users. To do so, we propose a caching and consolidation strategy that minimizes cold starts and inter-function communication delays while satisfying QoS by leveraging heterogeneous edge resources. We evaluated our platform in a simulation environment using characterization data from real-world IDS tasks and execution platforms and compared it with a vanilla Knative orchestrator and a storage-agnostic policy. Our strategy achieves 18\\% fewer QoS penalties while consolidating applications across 80\\% fewer edge nodes.},\n\tlanguage = {en},\n\turldate = {2024-12-11},\n\tbooktitle = {2024 {IEEE} 24th {International} {Symposium} on {Cluster}, {Cloud} and {Internet} {Computing} ({CCGrid})},\n\tpublisher = {IEEE},\n\tauthor = {Lannurien, Vincent and Slimani, Camélia and d’Orazio, Laurent and Barais, Olivier and Paquelet, Stéphane and Boukhobza, Jalil},\n\tmonth = may,\n\tyear = {2024},\n\tpages = {587--597},\n}\n\n\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Intrusion Detection Systems (IDS) are time-sensitive applications that aim to classify potentially malicious network traffic. IDSs are part of a class of applications that rely on short-lived functions that can be run reactively and, as such, could be deployed on edge resources, to offload processing from energy-constrained battery-backed devices. The serverless service model could fit the needs of such applications, given that the platform allows adequate levels of Quality of Service (QoS) for a variety of users, since the criticality of IDS applications depends on several parameters. Deploying serverless functions on unreserved edge resources requires to pay particular attention to (1) initialization delays that could be significant on low resources platforms, (2) inter-function communication between edge nodes, and (3) heterogeneous devices. In this paper, we propose both a storage-aware allocation and scheduling policy that seek to minimize task placement costs for service providers on edge devices while optimizing QoS for IDS users. To do so, we propose a caching and consolidation strategy that minimizes cold starts and inter-function communication delays while satisfying QoS by leveraging heterogeneous edge resources. We evaluated our platform in a simulation environment using characterization data from real-world IDS tasks and execution platforms and compared it with a vanilla Knative orchestrator and a storage-agnostic policy. Our strategy achieves 18% fewer QoS penalties while consolidating applications across 80% fewer edge nodes.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lannurien-dorazio-barais-paquelet-boukhobza-herosimanallocationandschedulingsimulatorforevaluatingserverlessorchestrationpolicies-2024\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://ieeexplore.ieee.org/document/10777556/\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lannurien-dorazio-barais-paquelet-boukhobza-herosimanallocationandschedulingsimulatorforevaluatingserverlessorchestrationpolicies-2024', 'https://ieeexplore.ieee.org/document/10777556/', event);\">\n    HeROsim: An Allocation and Scheduling Simulator for Evaluating Serverless Orchestration Policies.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://vincentlannurien.com/about/publications/\">Lannurien, V.</a>; d’Orazio , L.; Barais, O.; Paquelet, S.;  and Boukhobza, J.\n</span>\n\n  \n\n</span>\n\n  <i>IEEE Internet Computing</i>,1–9.  2024.\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://ieeexplore.ieee.org/document/10777556/\"\n     onclick=\"log_download('lannurien-dorazio-barais-paquelet-boukhobza-herosimanallocationandschedulingsimulatorforevaluatingserverlessorchestrationpolicies-2024', 'https://ieeexplore.ieee.org/document/10777556/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"HeROsim: An Allocation and Scheduling Simulator for Evaluating Serverless Orchestration Policies [link]\"\n       title=\"Paper\"\n       style=\"max-height: 1em;\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1109/MIC.2024.3511332\"\n     onclick=\"log_download('lannurien-dorazio-barais-paquelet-boukhobza-herosimanallocationandschedulingsimulatorforevaluatingserverlessorchestrationpolicies-2024', 'http://doi.org/10.1109/MIC.2024.3511332', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lannurien-dorazio-barais-paquelet-boukhobza-herosimanallocationandschedulingsimulatorforevaluatingserverlessorchestrationpolicies-2024\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lannurien-dorazio-barais-paquelet-boukhobza-herosimanallocationandschedulingsimulatorforevaluatingserverlessorchestrationpolicies-2024')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{lannurienHeROsimAllocationScheduling2024,\n\ttitle = {{HeROsim}: {An} {Allocation} and {Scheduling} {Simulator} for {Evaluating} {Serverless} {Orchestration} {Policies}},\n\tcopyright = {https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html},\n\tissn = {1089-7801, 1941-0131},\n\tshorttitle = {{HeROsim}},\n\turl = {https://ieeexplore.ieee.org/document/10777556/},\n\tdoi = {10.1109/MIC.2024.3511332},\n\tlanguage = {en},\n\turldate = {2024-12-11},\n\tjournal = {IEEE Internet Computing},\n\tauthor = {Lannurien, Vincent and d’Orazio, Laurent and Barais, Olivier and Paquelet, Stephane and Boukhobza, Jalil},\n\tyear = {2024},\n\tpages = {1--9},\n}\n\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_2023\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_2023')\"\n      onkeypress=\"toggleGroup('group_2023')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>2023</span>\n      <span class=\"bibbase_group_count\">\n        \n        (2)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"lannurien-dorazio-barais-boukhobza-serverlesscloudcomputingstateoftheartandchallenges-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://link.springer.com/10.1007/978-3-031-26633-1_11\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lannurien-dorazio-barais-boukhobza-serverlesscloudcomputingstateoftheartandchallenges-2023', 'https://link.springer.com/10.1007/978-3-031-26633-1_11', event);\">\n    Serverless Cloud Computing: State of the Art and Challenges.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://vincentlannurien.com/about/publications/\">Lannurien, V.</a>; D’Orazio, L.; Barais, O.;  and Boukhobza, J.\n</span>\n\n  \n\n</span>\n\n  In Krishnamurthi, R.; Kumar, A.; Gill, S. S.;  and Buyya, R., editor(s), <i>Serverless Computing: Principles and Paradigms</i>, volume 162, pages 275–316. Springer International Publishing, Cham,  2023.\n  <span class=\"note\">Series Title: Lecture Notes on Data Engineering and Communications Technologies</span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://link.springer.com/10.1007/978-3-031-26633-1_11\"\n     onclick=\"log_download('lannurien-dorazio-barais-boukhobza-serverlesscloudcomputingstateoftheartandchallenges-2023', 'https://link.springer.com/10.1007/978-3-031-26633-1_11', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"Serverless Cloud Computing: State of the Art and Challenges [link]\"\n       title=\"Paper\"\n       style=\"max-height: 1em;\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1007/978-3-031-26633-1_11\"\n     onclick=\"log_download('lannurien-dorazio-barais-boukhobza-serverlesscloudcomputingstateoftheartandchallenges-2023', 'http://doi.org/10.1007/978-3-031-26633-1_11', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lannurien-dorazio-barais-boukhobza-serverlesscloudcomputingstateoftheartandchallenges-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lannurien-dorazio-barais-boukhobza-serverlesscloudcomputingstateoftheartandchallenges-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@incollection{lannurienServerlessCloudComputing2023,\n\taddress = {Cham},\n\ttitle = {Serverless {Cloud} {Computing}: {State} of the {Art} and {Challenges}},\n\tvolume = {162},\n\tcopyright = {All rights reserved},\n\tisbn = {978-3-031-26632-4 978-3-031-26633-1},\n\tshorttitle = {Serverless {Cloud} {Computing}},\n\turl = {https://link.springer.com/10.1007/978-3-031-26633-1_11},\n\tdoi = {10.1007/978-3-031-26633-1_11},\n\tabstract = {The serverless model represents a paradigm shift in the cloud: as opposed to traditional cloud computing service models, serverless customers do not reserve hardware resources. The execution of their code is event-driven (HTTP requests, cron jobs, etc.) and billing is based on actual resource usage. In return, the responsibility of resource allocation and task placement lies on the provider. While serverless in the wild is mainly advertised as a public cloud offering, solutions are actively developed and backed by solid actors in the industry to allow the development of private cloud serverless platforms. The first generation of serverless offerings, ”Function as a Service” (FaaS), has severe shortcomings that can offset the potential benefits for both customers and providers – in terms of spendings and reliability on the customer side, and in terms of resources multiplexing on the provider side. Circumventing these flaws would allow considerable savings in money and energy for both providers and tenants. This chapter aims at establishing a comprehensive tour of these limitations, and presenting state-of-the-art studies to mitigate weaknesses that are currently holding serverless back from becoming the de facto cloud computing model. The main challenges related to the deployment of such a cloud platform are discussed and some perspectives for future directions in research are given.},\n\tlanguage = {en},\n\turldate = {2024-06-19},\n\tbooktitle = {Serverless {Computing}: {Principles} and {Paradigms}},\n\tpublisher = {Springer International Publishing},\n\tauthor = {Lannurien, Vincent and D’Orazio, Laurent and Barais, Olivier and Boukhobza, Jalil},\n\teditor = {Krishnamurthi, Rajalakshmi and Kumar, Adarsh and Gill, Sukhpal Singh and Buyya, Rajkumar},\n\tyear = {2023},\n\tnote = {Series Title: Lecture Notes on Data Engineering and Communications Technologies},\n\tpages = {275--316},\n}\n\n\n\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  The serverless model represents a paradigm shift in the cloud: as opposed to traditional cloud computing service models, serverless customers do not reserve hardware resources. The execution of their code is event-driven (HTTP requests, cron jobs, etc.) and billing is based on actual resource usage. In return, the responsibility of resource allocation and task placement lies on the provider. While serverless in the wild is mainly advertised as a public cloud offering, solutions are actively developed and backed by solid actors in the industry to allow the development of private cloud serverless platforms. The first generation of serverless offerings, ”Function as a Service” (FaaS), has severe shortcomings that can offset the potential benefits for both customers and providers – in terms of spendings and reliability on the customer side, and in terms of resources multiplexing on the provider side. Circumventing these flaws would allow considerable savings in money and energy for both providers and tenants. This chapter aims at establishing a comprehensive tour of these limitations, and presenting state-of-the-art studies to mitigate weaknesses that are currently holding serverless back from becoming the de facto cloud computing model. The main challenges related to the deployment of such a cloud platform are discussed and some perspectives for future directions in research are given.\n</div>\n\n\n</div>\n\n\n  <div class=\"bibbase_paper\" id=\"lannurien-dorazio-barais-bernard-weppe-beaulieu-kacete-paquelet-etal-herofakeheterogeneousresourcesorchestrationinaserverlesscloudanapplicationtodeepfakedetection-2023\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  <a href=\"https://ieeexplore.ieee.org/document/10171518/\"\n     onclick=\"return trackOutboundLink('publications', 'click', 'lannurien-dorazio-barais-bernard-weppe-beaulieu-kacete-paquelet-etal-herofakeheterogeneousresourcesorchestrationinaserverlesscloudanapplicationtodeepfakedetection-2023', 'https://ieeexplore.ieee.org/document/10171518/', event);\">\n    HeROfake: Heterogeneous Resources Orchestration in a Serverless Cloud – An Application to Deepfake Detection.\n  </a>\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://vincentlannurien.com/about/publications/\">Lannurien, V.</a>; D'Orazio, L.; Barais, O.; Bernard, E.; Weppe, O.; Beaulieu, L.; Kacete, A.; Paquelet, S.;  and Boukhobza, J.\n</span>\n\n  \n\n</span>\n\n  In <i>2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid)</i>, pages 154–165, Bangalore, India, May 2023. IEEE\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n  <a href=\"https://ieeexplore.ieee.org/document/10171518/\"\n     onclick=\"log_download('lannurien-dorazio-barais-bernard-weppe-beaulieu-kacete-paquelet-etal-herofakeheterogeneousresourcesorchestrationinaserverlesscloudanapplicationtodeepfakedetection-2023', 'https://ieeexplore.ieee.org/document/10171518/', event.ctrlKey, event)\">\n    <img src=\"//bibbase.org/img/filetypes/link.svg\"\n\t     alt=\"HeROfake: Heterogeneous Resources Orchestration in a Serverless Cloud – An Application to Deepfake Detection [link]\"\n       title=\"Paper\"\n       style=\"max-height: 1em;\"\n\t     class=\"bibbase_icon\"\n         ><span class=\"bibbase_icon_text\">Paper</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"http://doi.org/10.1109/CCGrid57682.2023.00024\"\n     onclick=\"log_download('lannurien-dorazio-barais-bernard-weppe-beaulieu-kacete-paquelet-etal-herofakeheterogeneousresourcesorchestrationinaserverlesscloudanapplicationtodeepfakedetection-2023', 'http://doi.org/10.1109/CCGrid57682.2023.00024', event.ctrlKey)\"\n     class=\"bibbase doi link\">\n    <span>doi</span></a>\n  &nbsp;\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lannurien-dorazio-barais-bernard-weppe-beaulieu-kacete-paquelet-etal-herofakeheterogeneousresourcesorchestrationinaserverlesscloudanapplicationtodeepfakedetection-2023\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n  &nbsp;\n  <a class=\"bibbase_abstract_link bibbase link\"\n     href=\"#\"\n     onclick=\"showAbstract(event); return false;\">\n    abstract <i class=\"fa fa-caret-down\"></i></a>\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lannurien-dorazio-barais-bernard-weppe-beaulieu-kacete-paquelet-etal-herofakeheterogeneousresourcesorchestrationinaserverlesscloudanapplicationtodeepfakedetection-2023')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@inproceedings{lannurienHeROfakeHeterogeneousResources2023,\n\taddress = {Bangalore, India},\n\ttitle = {{HeROfake}: {Heterogeneous} {Resources} {Orchestration} in a {Serverless} {Cloud} – {An} {Application} to {Deepfake} {Detection}},\n\tcopyright = {https://doi.org/10.15223/policy-029},\n\tisbn = {979-8-3503-0119-9},\n\tshorttitle = {{HeROfake}},\n\turl = {https://ieeexplore.ieee.org/document/10171518/},\n\tdoi = {10.1109/CCGrid57682.2023.00024},\n\tabstract = {Serverless is a trending service model for cloud computing. It shifts a lot of the complexity from customers to service providers. However, current serverless platforms mostly consider the provider’s infrastructure as homogeneous, as well as the users’ requests. This limits possibilities for the provider to leverage heterogeneity in their infrastructure to improve function response time and reduce energy consumption. We propose a heterogeneity-aware serverless orchestrator for private clouds that consists of two components: the autoscaler allocates heterogeneous hardware resources (CPUs, GPUs, FPGAs) for function replicas, while the scheduler maps function executions to these replicas. Our objective is to guarantee function response time, while enabling the provider to reduce resource usage and energy consumption. This work considers a case study for a deepfake detection application relying on CNN inference. We devised a simulation environment that implements our model and a baseline Knative orchestrator, and evaluated both policies with regard to consolidation of tasks, energy consumption and SLA penalties. Experimental results show that our platform yields substantial gains for all those metrics, with an average of 35\\% less energy consumed for function executions while consolidating tasks on less than 40\\% of the infrastructure’s nodes, and more than 60\\% less SLA violations.},\n\tlanguage = {en},\n\turldate = {2024-06-19},\n\tbooktitle = {2023 {IEEE}/{ACM} 23rd {International} {Symposium} on {Cluster}, {Cloud} and {Internet} {Computing} ({CCGrid})},\n\tpublisher = {IEEE},\n\tauthor = {Lannurien, Vincent and D&#x27;Orazio, Laurent and Barais, Olivier and Bernard, Esther and Weppe, Olivier and Beaulieu, Laurent and Kacete, Amine and Paquelet, Stéphane and Boukhobza, Jalil},\n\tmonth = may,\n\tyear = {2023},\n\tpages = {154--165},\n}\n</pre>\n</div>\n\n\n<div class=\"well well-small bibbase\" data-type=\"abstract\"\n     style=\"display:none\">\n  Serverless is a trending service model for cloud computing. It shifts a lot of the complexity from customers to service providers. However, current serverless platforms mostly consider the provider’s infrastructure as homogeneous, as well as the users’ requests. This limits possibilities for the provider to leverage heterogeneity in their infrastructure to improve function response time and reduce energy consumption. We propose a heterogeneity-aware serverless orchestrator for private clouds that consists of two components: the autoscaler allocates heterogeneous hardware resources (CPUs, GPUs, FPGAs) for function replicas, while the scheduler maps function executions to these replicas. Our objective is to guarantee function response time, while enabling the provider to reduce resource usage and energy consumption. This work considers a case study for a deepfake detection application relying on CNN inference. We devised a simulation environment that implements our model and a baseline Knative orchestrator, and evaluated both policies with regard to consolidation of tasks, energy consumption and SLA penalties. Experimental results show that our platform yields substantial gains for all those metrics, with an average of 35% less energy consumed for function executions while consolidating tasks on less than 40% of the infrastructure’s nodes, and more than 60% less SLA violations.\n</div>\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n  <div class=\"bibbase_group_whole\" id=\"group_undefined\">\n    <div class=\"bibbase_group\"\n      onclick=\"toggleGroup('group_undefined')\"\n      onkeypress=\"toggleGroup('group_undefined')\"\n      tabindex=\"0\">\n      <i class=\"fa fa-angle-down bibbase_group_head_icon\"></i>&nbsp;\n      <span>undefined</span>\n      <span class=\"bibbase_group_count\">\n        \n        (1)\n        \n      </span>\n    </div>\n    <div class=\"bibbase_group_body\">\n      \n  \n  <div class=\"bibbase_paper\" id=\"lannurien-allocationetplacementdynamiquessurressourceshtrognespourlecloudserverless\">\n  <span class=\"bibbase_paper_titleauthoryear\">\n\n  \n  <span class=\"bibbase_paper_title\">\n  \n  \n  \n  Allocation et placement dynamiques sur ressources hétérogènes pour le cloud serverless.\n  \n  \n  \n</span>\n\n  <span class=\"bibbase_paper_author\">\n  <a class=\"bibbase author link\" href=\"https://vincentlannurien.com/about/publications/\">Lannurien, V.</a>\n</span>\n\n  \n\n</span>\n\n  .  .\n  <span class=\"note\"></span>\n\n<span class=\"bibbase_note\"></span>\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content dontprint\">\n\n  \n\n  \n\n  \n  <a href=\"//bibbase.org/network/publication/lannurien-allocationetplacementdynamiquessurressourceshtrognespourlecloudserverless\"\n     class=\"bibbase bibbase_page link\">link</a>\n  &nbsp;\n  \n\n  <a href=\"#\"\n     onclick=\"showBib(event); return false;\"\n     class=\"bibbase bibtex link\">bibtex\n    <i class=\"fa fa-caret-down\"></i></a>\n\n  \n\n  \n\n  <!-- <a class=\"bibbase read link hidden\" -->\n  <!--    href=\"javascript:toggleRead('lannurien-allocationetplacementdynamiquessurressourceshtrognespourlecloudserverless')\" -->\n  <!--    title=\"Marking this paper as read adds it to your library on BibBase.\" -->\n  <!--    > -->\n  <!--   <i class=\"fa fa-check\"></i>&nbsp; -->\n  <!--   <span>mark as read</span> -->\n  <!-- </a> -->\n\n  &nbsp;\n  \n  \n\n</span>\n\n<div class=\"well well-small bibbase\" data-type=\"bibtex\"\n     style=\"display:none\">\n  <pre style=\"white-space: pre-wrap;\">@article{lannurienAllocationPlacementDynamiques,\n\ttitle = {Allocation et placement dynamiques sur ressources hétérogènes pour le cloud serverless},\n\tlanguage = {fr},\n\tauthor = {Lannurien, Vincent},\n}\n\n\n\n\n\n\n\n\n\n\n\n</pre>\n</div>\n\n\n\n</div>\n\n\n\n\n\n    </div>\n  </div>\n\n\n\n\n  </div>\n\n\n  <!-- Modal -->\n\n  <!-- <iframe id=\"bibbase_network_frame\" -->\n  <!--         src=\"//bibbase.org/network/control\" -->\n  <!--         style=\"display: none;\"> -->\n  <!-- </iframe> -->\n\n</div>\n"}; document.write(bibbase_data.data);