FAVE: Bandwidth-aware failover in virtualized SDN for clouds

Heesang Jin, Gyeongsik Yang, Bong Yeol Yu, Chuck Yoo

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

Abstract

Network virtualization based on SDN has gained attention in cloud networking. However, existing studies have not provided any failover technique in the event of physical link failure. We propose FAVE, which provides seamless failover and bandwidth-aware protection. FAVE carefully allocates backup routes to handle both failure and interference between tenants. Evaluation shows that FAVE is effective. To our knowledge, FAVE is the first attempt to address failover in virtualized SDN environments.

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services
EditorsElisa Bertino, Carl K. Chang, Peter Chen, Ernesto Damiani, Michael Goul, Katsunori Oyama
PublisherIEEE Computer Society
Pages505-507
Number of pages3
ISBN (Electronic)9781728127057
DOIs
Publication statusPublished - 2019 Jul 1
Event12th IEEE International Conference on Cloud Computing, CLOUD 2019 - Milan, Italy
Duration: 2019 Jul 82019 Jul 13

Publication series

NameIEEE International Conference on Cloud Computing, CLOUD
Volume2019-July
ISSN (Print)2159-6182
ISSN (Electronic)2159-6190

Conference

Conference12th IEEE International Conference on Cloud Computing, CLOUD 2019
CountryItaly
CityMilan
Period19/7/819/7/13

Keywords

  • Failover
  • Network virtualization
  • Software-defined networking
  • Traffic engineering

ASJC Scopus subject areas

  • Artificial Intelligence
  • Information Systems
  • Software

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  • Cite this

    Jin, H., Yang, G., Yu, B. Y., & Yoo, C. (2019). FAVE: Bandwidth-aware failover in virtualized SDN for clouds. In E. Bertino, C. K. Chang, P. Chen, E. Damiani, M. Goul, & K. Oyama (Eds.), Proceedings - 2019 IEEE International Conference on Cloud Computing, CLOUD 2019 - Part of the 2019 IEEE World Congress on Services (pp. 505-507). [8814526] (IEEE International Conference on Cloud Computing, CLOUD; Vol. 2019-July). IEEE Computer Society. https://doi.org/10.1109/CLOUD.2019.00092