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dc.contributor.authorAntichi, Giannien
dc.contributor.authorCallegari, Christianen
dc.contributor.authorMoore, Andrewen
dc.contributor.authorGiordano, Stefanoen
dc.contributor.authorAnastasi, Enricoen
dc.date.accessioned2015-05-20T13:29:36Z
dc.date.available2015-05-20T13:29:36Z
dc.date.issued2014-09-16en
dc.identifier.citation2014 IEEE 15th International Conference on High Performance Switching and Routing (HPSR), 32 - 37. DOI: 10.1109/HPSR.2014.6900878en
dc.identifier.issn2325-5595
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/247858
dc.description.abstractAny improvement in packet classification performance is crucial to ensure Internet functions continue to track the ever-increasing link capacities. Packet classification is the foundation of many Internet functions: from fundamental packet-forwarding to advanced features such as Quality of Service en-forcement, monitoring and security functions. This work proposes a novel trie-based classification algorithm, named Jump-Ahead Trie (JA-trie), utilizing an entropy-based pre-processing phase and a novel approach to wildcard matching. Through extensive experimental tests, we demonstrate that our proposed algorithm is able to outperform a range of state-of-the-art classification algorithms.
dc.description.sponsorshipThis work was jointly supported by the EPSRC INTERNET Project EP/H040536/1, by the National Science Foundation under Grant No. CNS-0855268, and by the MIUR project GreenNet (FIRB 2010).
dc.languageEnglishen
dc.language.isoenen
dc.publisherIEEE
dc.titleJA-trie: Entropy-Based Packet Classificationen
dc.typeConference Object
dc.description.versionThis is the accepted manuscript. The final version is available at http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6900878.en
prism.endingPage37
prism.publicationDate2014en
prism.publicationNameIEEE International Conference on High Performance Switching and Routingen
prism.startingPage32
dc.rioxxterms.funderEPSRC
dc.rioxxterms.funderNSF
dc.rioxxterms.projectidEP/H040536/1
dc.rioxxterms.projectidCNS-0855268
rioxxterms.versionofrecord10.1109/HPSR.2014.6900878en
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2014-09-16en
dc.contributor.orcidAntichi, Gianni [0000-0002-6063-4975]
dc.contributor.orcidMoore, Andrew [0000-0002-5494-9305]
rioxxterms.typeConference Paper/Proceeding/Abstracten


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