Efficient big link allocation scheme in virtualized software-defined networking

Wontae Jeong, Gyeongsik Yang, Seong Mun Kim, Chuck Yoo

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

2 Citations (Scopus)

Abstract

We propose an efficient resource allocation scheme for big links in virtualized software-defined networking. Network virtualization based on software-defined networking provides big link concept to facilitate simple network management - big link maps a set of switches and links into a single virtual link. However, this paper reports an issue of the big link in that there is a severe performance degradation in virtualized SDN environments. We find the cause: the existing network hypervisors do not consider the network traffic when allocating physical resources to a big link. To address this issue, we present big link allocation scheme (BAS) that considers network traffic when allocating and reallocating resources to a big link. A prototype implementation is done with OpenVirteX, and experiments demonstrate that the big link with BAS achieves four times greater throughput than that of the big link without BAS. Moreover, by including a timer in OpenVirteX, the BAS decreases unnecessary resource reallocations, which reduces overhead.

Original languageEnglish
Title of host publication2017 13th International Conference on Network and Service Management, CNSM 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
Number of pages7
ISBN (Electronic)9783901882982
DOIs
Publication statusPublished - 2017 Jul 1
Event13th International Conference on Network and Service Management, CNSM 2017 - Tokyo, Japan
Duration: 2017 Nov 262017 Nov 30

Publication series

Name2017 13th International Conference on Network and Service Management, CNSM 2017
Volume2018-January

Other

Other13th International Conference on Network and Service Management, CNSM 2017
CountryJapan
CityTokyo
Period17/11/2617/11/30

ASJC Scopus subject areas

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

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