Adaptive control channel traffic shaping for virtualized SDN in clouds

Yeonho Yoo, Gyeongsik Yang, Minkoo Kang, Chuck Yoo

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

2 Citations (Scopus)

Abstract

As the number of tenants in clouds grows, virtualized SDN faces a challenge of control channel fairness as the control channels interfere with each other. This paper proposes an adaptive traffic shaping scheme for control channels called 'Sincon.' Through experiments, Sincon achieves traffic shaping for control channels and improves the variances of control channel throughputs and forwarding setup times up to 3.8 and 2.86 times, respectively.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE 13th International Conference on Cloud Computing, CLOUD 2020
PublisherIEEE Computer Society
Pages22-24
Number of pages3
ISBN (Electronic)9781728187808
DOIs
Publication statusPublished - 2020 Oct
Event13th IEEE International Conference on Cloud Computing, CLOUD 2020 - Virtual, Beijing, China
Duration: 2020 Oct 182020 Oct 24

Publication series

NameIEEE International Conference on Cloud Computing, CLOUD
Volume2020-October
ISSN (Print)2159-6182
ISSN (Electronic)2159-6190

Conference

Conference13th IEEE International Conference on Cloud Computing, CLOUD 2020
Country/TerritoryChina
CityVirtual, Beijing
Period20/10/1820/10/24

Keywords

  • Cloud network
  • Control channel traffic
  • Network virtualization
  • SDN
  • Traffic shaping

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software

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