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Conference Paper: Statistical connection admission control framework based on achievable capacity estimation

TitleStatistical connection admission control framework based on achievable capacity estimation
Authors
KeywordsAdmission control
QoS
Statistical estimation
Issue Date2006
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104
Citation
Ieee International Conference On Communications, 2006, v. 2, p. 748-753 How to Cite?
AbstractTraditional traffic descriptor-based and measurement-based admission control schemes are typically combined with a node by node resource reservation scheme, rendering them unscalable. Although some Endpoint Admission Control schemes can resolve this problem, they impose significant signaling overhead. To cope with these two problems, this paper proposes a statistical connection admission control framework which can easily and efficiently estimate the network resource for a pair of ingress-egress nodes and make admission decision based on this estimated result. In this framework, the network is considered as a "black box." For a certain ingress-egress node pair, the egress node measures the QoS constraint violation ratio and feeds this information back to the ingress node periodically. With this information and the measured statistical characteristics of the existing aggregated traffic, the ingress node estimates the achievable capacity between the ingress-egress node pair, and makes the admission decision for a new traffic connection request. The signaling overhead of this framework is very small. Simulation results show the effective throughput is relatively high. © 2006 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/45938
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorZhu, Hen_HK
dc.contributor.authorLi, VOKen_HK
dc.contributor.authorMa, Zen_HK
dc.contributor.authorZhao, Men_HK
dc.date.accessioned2007-10-30T06:38:58Z-
dc.date.available2007-10-30T06:38:58Z-
dc.date.issued2006en_HK
dc.identifier.citationIeee International Conference On Communications, 2006, v. 2, p. 748-753en_HK
dc.identifier.issn0536-1486en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45938-
dc.description.abstractTraditional traffic descriptor-based and measurement-based admission control schemes are typically combined with a node by node resource reservation scheme, rendering them unscalable. Although some Endpoint Admission Control schemes can resolve this problem, they impose significant signaling overhead. To cope with these two problems, this paper proposes a statistical connection admission control framework which can easily and efficiently estimate the network resource for a pair of ingress-egress nodes and make admission decision based on this estimated result. In this framework, the network is considered as a "black box." For a certain ingress-egress node pair, the egress node measures the QoS constraint violation ratio and feeds this information back to the ingress node periodically. With this information and the measured statistical characteristics of the existing aggregated traffic, the ingress node estimates the achievable capacity between the ingress-egress node pair, and makes the admission decision for a new traffic connection request. The signaling overhead of this framework is very small. Simulation results show the effective throughput is relatively high. © 2006 IEEE.en_HK
dc.format.extent245674 bytes-
dc.format.extent4152649 bytes-
dc.format.extent23319 bytes-
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dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000104en_HK
dc.relation.ispartofIEEE International Conference on Communicationsen_HK
dc.rights©2006 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.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectAdmission controlen_HK
dc.subjectQoSen_HK
dc.subjectStatistical estimationen_HK
dc.titleStatistical connection admission control framework based on achievable capacity estimationen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1044-4556&volume=2&spage=748&epage=753&date=2006&atitle=Statistical+Connection+Admission+Control+Framework+based+on+Achievable+Capacity+Estimationen_HK
dc.identifier.emailLi, VOK:vli@eee.hku.hken_HK
dc.identifier.authorityLi, VOK=rp00150en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICC.2006.254797en_HK
dc.identifier.scopuseid_2-s2.0-36348987681en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-36348987681&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume2en_HK
dc.identifier.spage748en_HK
dc.identifier.epage753en_HK
dc.identifier.scopusauthoridZhu, H=35106456700en_HK
dc.identifier.scopusauthoridLi, VOK=7202621685en_HK
dc.identifier.scopusauthoridMa, Z=7403600289en_HK
dc.identifier.scopusauthoridZhao, M=23398875800en_HK

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