@article{
 title = {Netgauge: A network performance measurement framework},
 type = {article},
 year = {2007},
 keywords = {Communication patterns; Netgauge distribution; Pr,Electric power distribution; Network protocols; Pa,Telecommunication networks},
 pages = {659-671},
 volume = {4782 LNCS},
 websites = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-38149121511&partnerID=40&md5=6c0044e8cd32aa23bbb977317c762208},
 city = {Houston, TX},
 id = {852693ee-c65a-33e9-baeb-b44426223295},
 created = {2018-01-09T20:30:38.779Z},
 file_attached = {false},
 profile_id = {42d295c0-0737-38d6-8b43-508cab6ea85d},
 last_modified = {2018-03-12T19:03:18.033Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Hoefler2007659},
 source_type = {article},
 notes = {cited By 30; Conference of 3rd International Conference on High Performance Computing and Communications, HPCC 2007 ; Conference Date: 26 September 2007 Through 28 September 2007; Conference Code:70993},
 folder_uuids = {2aba6c14-9027-4f47-8627-0902e1e2342b},
 private_publication = {false},
 abstract = {This paper introduces Netgauge, an extensible open-source framework for implementing network benchmarks. The structure of Netgauge abstracts and explicitly separates communication patterns from communication modules. As a result of this separation of concerns, new benchmark types and new network protocols can be added independently to Netgauge. We describe the rich set of pre-defined communication patterns and communication modules that are available in the current distribution. Benchmark results demonstrate the applicability of the current Netgauge distribution to to different networks. An assortment of use-cases is used to investigate the implementation quality of selected protocols and protocol layers. © Springer-Verlag Berlin Heidelberg 2007.},
 bibtype = {article},
 author = {Hoefler, T and Mehlan, T and Lumsdaine, A and Rehm, W},
 journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}
}

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