Flo-v: Low overhead network monitoring framework in virtualized software defined networks

Gyeongsik Yang, Kyungwoon Lee, Wontae Jeong, Chuck Yoo

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

5 Citations (Scopus)

Abstract

Network virtualization involves creating multiple virtual net-works within a physical network, based on the exible net-work environment of software-defined networking (SDN). In a virtualized SDN (vSDN), a network hypervisor plays a key role in translating physical network resources into vir-tual network resources. However, this translation in vSDN incurs considerable overhead in network monitoring that is critical for network management. In this paper, we pro-pose Flo-v to provide network monitoring in a vSDN. Flo-v provides accurate monitoring information to a vSDN and, by applying selective and adaptive approaches, it monitors traffic in a network hypervisor with lower overhead than ex-isting schemes. We compare the proposed Flo-v with exist-ing schemes, and demonstrate that Flo-v provides accurate network information with reduced resource usage in terms of both the network and CPU, with approximately 50% less overhead than existing schemes.

Original languageEnglish
Title of host publicationProceedings of the 11th International Conference on Future Internet Technologies, CFI 2016
PublisherAssociation for Computing Machinery
Pages90-94
Number of pages5
ISBN (Electronic)9781450341813
DOIs
Publication statusPublished - 2016 Jun 15
Event11th International Conference on Future Internet Technologies, CFI 2016 - Nanjing, China
Duration: 2016 Jun 152016 Jun 17

Publication series

NameACM International Conference Proceeding Series
Volume15-17-June-2016

Other

Other11th International Conference on Future Internet Technologies, CFI 2016
Country/TerritoryChina
CityNanjing
Period16/6/1516/6/17

Keywords

  • Network monitoring
  • Network virtualization
  • Software defined networking

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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