Towards efficient implementation of packet classifiers in SDN/OpenFlow

Kirill Kogan, Sergey Nikolenko, William Culhane, Patrick Eugster, Eddie Ruan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

35 Scopus citations

Abstract

Traffic classification is a core problem underlying efficient implementation of network services. In this work we draw from our experience in classifier design for commercial systems to address this problem in SDN and OpenFlow. We identify methods from other fields of computer science and show research directions that can be applied for efficient design of packet classifiers. Proposed abstractions and design patterns can significantly reduce requirements on network elements and enable deployment of functionality that would be infeasible in a traditional way.

Original languageEnglish
Title of host publicationHotSDN 2013 - Proceedings of the 2013 ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking
Pages153-154
Number of pages2
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 2nd ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking, HotSDN 2013 - Hong Kong, China
Duration: 16 Aug 201316 Aug 2013

Publication series

NameHotSDN 2013 - Proceedings of the 2013 ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking

Conference

Conference2013 2nd ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking, HotSDN 2013
Country/TerritoryChina
CityHong Kong
Period16/08/1316/08/13

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