An efficient flow classification algorithm in Software-Defined Networking

Seungbum Ju, Kyoungtaek Lee, Jonghun Kim, Jaiyong Lee

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

Abstract

In Software-Defined Network environment, operator can see the global view of network. So it can be manage flows with network-wide view, but legacy flow classification method cannot satisfy the integrated tables of all switches because of out of memory and long compilation time. So I proposed the architecture that can control network-wide flow classification to satisfy one's policy like Quality-of-Service. The architecture that proposed is consists of hierarchical Multi-valued decision diagram and Binary Decision Diagram. It is used to be used in VLSI. It makes less memory consumption and little compilation time. So it can contribute in network verification and network fabric.

Original languageEnglish
Title of host publication2015 International Conference on Information Networking, ICOIN 2015
PublisherIEEE Computer Society
Pages227-232
Number of pages6
ISBN (Electronic)9781479983421
DOIs
Publication statusPublished - 2015 Mar 10
Event2015 International Conference on Information Networking, ICOIN 2015 - Siem Reap, Cambodia
Duration: 2015 Jan 122015 Jan 14

Publication series

NameInternational Conference on Information Networking
Volume2015-January
ISSN (Print)1976-7684

Other

Other2015 International Conference on Information Networking, ICOIN 2015
CountryCambodia
CitySiem Reap
Period15/1/1215/1/14

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

Fingerprint Dive into the research topics of 'An efficient flow classification algorithm in Software-Defined Networking'. Together they form a unique fingerprint.

  • Cite this

    Ju, S., Lee, K., Kim, J., & Lee, J. (2015). An efficient flow classification algorithm in Software-Defined Networking. In 2015 International Conference on Information Networking, ICOIN 2015 (pp. 227-232). [7057887] (International Conference on Information Networking; Vol. 2015-January). IEEE Computer Society. https://doi.org/10.1109/ICOIN.2015.7057887