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Learning End-to-end Application QoS from OpenFlow Switch Statistics
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. Fac Comp FACOM UFU, Uberlandia, MG, Brazil; Swedish Inst Comp Sci, Stockholm, Sweden.
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
2017 (English)In: 2017 IEEE CONFERENCE ON NETWORK SOFTWARIZATION (IEEE NETSOFT), IEEE , 2017Conference paper (Refereed)
Abstract [en]

We use statistical learning to estimate end-to-end QoS metrics from device statistics, collected from a server cluster and an OpenFlow network. The results from our testbed, which runs a video-on-demand service and a key-value store, demonstrate that the learned models can estimate QoS metrics like frame rate or response time with errors bellow 10% for a given client. Interestingly, we find that service-level QoS metrics seem "encoded" in network statistics and it suffices to collect OpenFlow per port statistics to achieve accurate estimation at small overhead for data collection and model computation.

Place, publisher, year, edition, pages
IEEE , 2017.
Keywords [en]
Machine Learning, Network Analytics, OpenFlow, Quality of Service, Software-Defined Networking
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-215847ISI: 000410943600016Scopus ID: 2-s2.0-85029372779ISBN: 978-1-5090-6008-5 (print)OAI: oai:DiVA.org:kth-215847DiVA, id: diva2:1149784
Conference
3rd IEEE Conference on Network Softwarization (IEEE NetSoft) - Softwarization Sustaining a Hyper-Connected World - En Route to 5G, JUL 03-07, 2017, Bologna, ITALY
Note

QC 20171017. Forskningsfinansiärer: Brazilian National Council for Scientific and Technological Development, CNPq, through the Science Without Borders Program, 232586/2014-4  ; Swedish Governmental Agency for Innovation Systems, VINNOVA, through project SENDATE-EXTEND ; Swedish Research Council through the ACCESS Linnaeus Centre 

Available from: 2017-10-17 Created: 2017-10-17 Last updated: 2018-01-13Bibliographically approved

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Stadler, Rolf

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
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