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.
Hamid FARHADY
The University of Tokyo
Akihiro NAKAO
The University of Tokyo
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Hamid FARHADY, Akihiro NAKAO, "TagFlow: Efficient Flow Classification in SDN" in IEICE TRANSACTIONS on Communications,
vol. E97-B, no. 11, pp. 2302-2310, November 2014, doi: 10.1587/transcom.E97.B.2302.
Abstract: 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.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E97.B.2302/_p
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@ARTICLE{e97-b_11_2302,
author={Hamid FARHADY, Akihiro NAKAO, },
journal={IEICE TRANSACTIONS on Communications},
title={TagFlow: Efficient Flow Classification in SDN},
year={2014},
volume={E97-B},
number={11},
pages={2302-2310},
abstract={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.},
keywords={},
doi={10.1587/transcom.E97.B.2302},
ISSN={1745-1345},
month={November},}
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TY - JOUR
TI - TagFlow: Efficient Flow Classification in SDN
T2 - IEICE TRANSACTIONS on Communications
SP - 2302
EP - 2310
AU - Hamid FARHADY
AU - Akihiro NAKAO
PY - 2014
DO - 10.1587/transcom.E97.B.2302
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E97-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2014
AB - 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.
ER -