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Software-defined networking (SDN) control message classification, verification, and optimization system

  • Hyungbae Park
  • , Sejun Song
  • , Baek Young Choi
  • , Henry Zhu

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

Abstract

A traditional network reliability architecture consists of many distributed protocols, built-in dedicated network devices, and treats both data and control failures as an interrelated problem according to the physical network topologies. However, in Software-Defined Networking (SDN) architecture where the control plane is separated from the data plane, the issue of reliability is significantly related to the scalability of SDN controllers, as they are responsible for the intelligent decision of virtualization and switch policies. In this paper, we propose a novel control message classification, verification, and optimization system that serves as a fundamental approach to improve the scalability and then reliability for SDN. Unlike the traditional solutions, the proposed solution analyzes, verifies, and reduces the detrimental impact of an overloaded system by incorporating the vitality of individual control messages.

Original languageEnglish (US)
Title of host publication2015 IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages25-28
Number of pages4
ISBN (Electronic)9781509019441
DOIs
StatePublished - Jan 25 2016
Externally publishedYes
EventIEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2015 - Gaithersburg, United States
Duration: Nov 2 2015Nov 5 2015

Publication series

Name2015 IEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2015

Conference

ConferenceIEEE International Symposium on Software Reliability Engineering Workshops, ISSREW 2015
Country/TerritoryUnited States
CityGaithersburg
Period11/2/1511/5/15

ASJC Scopus subject areas

  • Software
  • Safety, Risk, Reliability and Quality

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