Comprehensive Prediction Models of Control Traffic for SDN Controllers

Bong Yeol Yu, Gyeongsik Yang, Hyuck Yoo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In SDN, as the control channel becomes a performance bottleneck, modeling the control channel traffic is important. Such a model is useful in predicting the control channel traffic for network provisioning. However, previously proposed models are quite limited in that they assume only the forwarding function of a specific controller for their models. To overcome the limitations, first, this paper analyzes the control traffic by seven functions (including forwarding function) of a controller. Then, we build a seven-function model to predict control channel usage and evaluate the prediction accuracy that achieves as high as 94%. Note that previous models did not have any quantitative evaluation. Our model is built with the Open Network Operating System (ONOS) controller and extended to Floodlight and POX controllers. We show that the extended model also achieves similar prediction accuracy (95%). Furthermore, we compare three controllers in terms of control channel usage through our model.

Original languageEnglish
Title of host publication2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages415-423
Number of pages9
ISBN (Print)9781538646335
DOIs
Publication statusPublished - 2018 Sep 10
Event4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018 - Montreal, Canada
Duration: 2018 Jun 252018 Jun 29

Other

Other4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018
CountryCanada
CityMontreal
Period18/6/2518/6/29

Fingerprint

Traffic control
Controllers
Software defined networking

Keywords

  • Control channel
  • Control traffic
  • OpenFlow
  • Scalability
  • SDN controller
  • Software-defined networking

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Safety, Risk, Reliability and Quality

Cite this

Yu, B. Y., Yang, G., & Yoo, H. (2018). Comprehensive Prediction Models of Control Traffic for SDN Controllers. In 2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018 (pp. 415-423). [8460111] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NETSOFT.2018.8460111

Comprehensive Prediction Models of Control Traffic for SDN Controllers. / Yu, Bong Yeol; Yang, Gyeongsik; Yoo, Hyuck.

2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 415-423 8460111.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yu, BY, Yang, G & Yoo, H 2018, Comprehensive Prediction Models of Control Traffic for SDN Controllers. in 2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018., 8460111, Institute of Electrical and Electronics Engineers Inc., pp. 415-423, 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018, Montreal, Canada, 18/6/25. https://doi.org/10.1109/NETSOFT.2018.8460111
Yu BY, Yang G, Yoo H. Comprehensive Prediction Models of Control Traffic for SDN Controllers. In 2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 415-423. 8460111 https://doi.org/10.1109/NETSOFT.2018.8460111
Yu, Bong Yeol ; Yang, Gyeongsik ; Yoo, Hyuck. / Comprehensive Prediction Models of Control Traffic for SDN Controllers. 2018 4th IEEE Conference on Network Softwarization and Workshops, NetSoft 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 415-423
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