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TagFlow: Efficient Flow Classification in SDN

Hamid FARHADY, Akihiro NAKAO

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Summary :

We propose TagFlow, a data plane mechanism for classification in Software-Defined Networking (SDN). We first argue that simple field-matching proposals of current SDN APIs are not efficient and flexible enough and then propose a tag based classification mechanism as an alternative. Moreover, we propose user-defined actions as an improvement over current hardcoded actions in SDN APIs. Our experiments show TagFlow forwarding is almost 40% faster than OpenFlow. Furthermore, our user-defined actions at SDN southbound are thousands of times faster that equivalent northbound implementations in the literature.

Publication
IEICE TRANSACTIONS on Communications Vol.E97-B No.11 pp.2302-2310
Publication Date
2014/11/01
Publicized
Online ISSN
1745-1345
DOI
10.1587/transcom.E97.B.2302
Type of Manuscript
Special Section PAPER (Special Section on Network Virtualization, and Fusion Platform of Computing and Networking)
Category

Authors

Hamid FARHADY
  The University of Tokyo
Akihiro NAKAO
  The University of Tokyo

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