Delay analysis of new-flow setup time in software defined networks

Amer AlGhadhban, Basem Shihada

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Scopus citations

Abstract

Software Defined Networking (SDN) provides network engineers with a high-level of abstraction to manage network traffic and control the associated network resources. Unfortunately, the data-plane devices communicate with the controller for every new flow, which adds an extra overhead and causes excessive delays. Such communication relies on the probability called matching probability. In this work, we propose a mathematical model for the SDN flow-setup process with the consideration of all factors that contribute into the matching probability, such as proactive/reactive flow setup modes. Finally, we attempt at deriving the overall system capacity and blocking probability.

Original languageEnglish (US)
Title of host publicationIEEE/IFIP Network Operations and Management Symposium
Subtitle of host publicationCognitive Management in a Cyber World, NOMS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
Number of pages7
ISBN (Electronic)9781538634165
DOIs
StatePublished - Jul 6 2018
Event2018 IEEE/IFIP Network Operations and Management Symposium, NOMS 2018 - Taipei, Taiwan, Province of China
Duration: Apr 23 2018Apr 27 2018

Publication series

NameIEEE/IFIP Network Operations and Management Symposium: Cognitive Management in a Cyber World, NOMS 2018

Conference

Conference2018 IEEE/IFIP Network Operations and Management Symposium, NOMS 2018
Country/TerritoryTaiwan, Province of China
CityTaipei
Period04/23/1804/27/18

Keywords

  • OpenFlow system capacity
  • Performance analysis
  • Proactive and reactive flow modes
  • Software defined network

ASJC Scopus subject areas

  • Information Systems and Management
  • Control and Optimization
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

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