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Conference Paper: An adaptive flow classification algorithm for IP switching

TitleAn adaptive flow classification algorithm for IP switching
Authors
KeywordsCommunications
Issue Date1999
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000308
Citation
The 1999 IEEE Global Telecommunication Conference (GLOBECOM'99), Rio de Janeiro, Braz, 5-9 December 1999. In Globecom. IEEE Global Telecommunications Conference & Exhibition Conference Record, 1999, v. 2, p. 1290-1294 How to Cite?
AbstractFlow classification is one of the key issues in IP switching. To achieve better performance, flow classification should be matched to the varying IP traffic and an IP switch should make use of its hardware switching resources as fully as possible. Based on these arguments, this paper proposes an adaptive flow classification algorithm for IP switching. By dynamically adjusting the values of its control parameters in response to the present usage of the hardware switching resources, this adaptive algorithm can efficiently match the varying IP traffic and thus improve the performance of an IP switch. A simulation study based on real IP traces is performed to demonstrate the efficiency of this adaptive algorithm and to show the improvement of the system performance.
Persistent Identifierhttp://hdl.handle.net/10722/46158
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorZheng, Jen_HK
dc.contributor.authorLi, VOKen_HK
dc.contributor.authorYuan, XCen_HK
dc.date.accessioned2007-10-30T06:43:45Z-
dc.date.available2007-10-30T06:43:45Z-
dc.date.issued1999en_HK
dc.identifier.citationThe 1999 IEEE Global Telecommunication Conference (GLOBECOM'99), Rio de Janeiro, Braz, 5-9 December 1999. In Globecom. IEEE Global Telecommunications Conference & Exhibition Conference Record, 1999, v. 2, p. 1290-1294en_HK
dc.identifier.issn1054-5921en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46158-
dc.description.abstractFlow classification is one of the key issues in IP switching. To achieve better performance, flow classification should be matched to the varying IP traffic and an IP switch should make use of its hardware switching resources as fully as possible. Based on these arguments, this paper proposes an adaptive flow classification algorithm for IP switching. By dynamically adjusting the values of its control parameters in response to the present usage of the hardware switching resources, this adaptive algorithm can efficiently match the varying IP traffic and thus improve the performance of an IP switch. A simulation study based on real IP traces is performed to demonstrate the efficiency of this adaptive algorithm and to show the improvement of the system performance.en_HK
dc.languageengen_HK
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000308en_HK
dc.relation.ispartofGlobecom. IEEE Global Telecommunications Conference & Exhibition Conference Record-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©1999 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.subjectCommunicationsen_HK
dc.titleAn adaptive flow classification algorithm for IP switchingen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1054-5921&volume=2&spage=1290&epage=1294&date=1999&atitle=An+adaptive+flow+classification+algorithm+for+IP+switchingen_HK
dc.identifier.emailLi, Victor OK: vli@eee.hku.hk-
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/GLOCOM.1999.829979en_HK
dc.identifier.scopuseid_2-s2.0-0033294908-
dc.identifier.hkuros50175-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0033294908&selection=ref&src=s&origin=recordpage-
dc.identifier.volume2-
dc.identifier.spage1290-
dc.identifier.epage1294-
dc.identifier.scopusauthoridZheng, Jun=36627820800-
dc.identifier.scopusauthoridLi, Victor OK=7202621685-
dc.identifier.scopusauthoridYuan, Xiaochun=36781272800-
dc.customcontrol.immutablesml 160113 - merged-

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