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Article: Caching policy and cache placement for active reliable multicast

TitleCaching policy and cache placement for active reliable multicast
Authors
KeywordsActive resources
Cache allocation
Caching policy
Relibale multicast
Issue Date2004
PublisherOxford University Press. The Journal's web site is located at http://ietcom.oxfordjournals.org/
Citation
Ieice Transactions On Communications, 2004, v. E87-B n. 11, p. 3230-3241 How to Cite?
AbstractActive Reliable Multicast (ARM) is a novel loss recovery scheme for large-scale reliable multicast that employs active routers to protect the sender and network bandwidth from unnecessary feedback and repair traffic. Active routers perform NACKs suppression, cache multicast data for local loss recovery, and use scoped retransmission to avoid exposure. Limited active resources at routers need to be optimized to achieve low loss recovery latency and/or high network throughput. In this paper, we study the cache placement strategies and caching policies for ARM. Several heuristics, namely uniform allocation, proportional allocation, max-min fair share and weighted allocation for cache allocation methods are proposed. To further improve the loss recovery performance, caching policies can be employed in conjunction with the cache allocation strategies. Several caching policies, namely complete caching, random caching and deterministic caching, are proposed. Extensive simulation experiments are conducted to evaluate and compare the performance of the proposed strategies and policies. Numerical results reveal that significant performance gains can be achieved when a proper cache placement strategy and a caching policy are used for a given available cache resource. Another interesting finding is that the contributions of the cache placement scheme and caching policy to the recovery latency performance are roughly independent. The obtained insights in this study will provide some design guidelines for optimal active resource allocation and caching polices for reliable multicast communications.
Persistent Identifierhttp://hdl.handle.net/10722/74002
ISSN
2015 Impact Factor: 0.3
2015 SCImago Journal Rankings: 0.184
References

 

DC FieldValueLanguage
dc.contributor.authorFeng, Gen_HK
dc.contributor.authorSiew, CKen_HK
dc.contributor.authorLok, KWen_HK
dc.contributor.authorYeung, KLen_HK
dc.date.accessioned2010-09-06T06:56:51Z-
dc.date.available2010-09-06T06:56:51Z-
dc.date.issued2004en_HK
dc.identifier.citationIeice Transactions On Communications, 2004, v. E87-B n. 11, p. 3230-3241en_HK
dc.identifier.issn0916-8516en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74002-
dc.description.abstractActive Reliable Multicast (ARM) is a novel loss recovery scheme for large-scale reliable multicast that employs active routers to protect the sender and network bandwidth from unnecessary feedback and repair traffic. Active routers perform NACKs suppression, cache multicast data for local loss recovery, and use scoped retransmission to avoid exposure. Limited active resources at routers need to be optimized to achieve low loss recovery latency and/or high network throughput. In this paper, we study the cache placement strategies and caching policies for ARM. Several heuristics, namely uniform allocation, proportional allocation, max-min fair share and weighted allocation for cache allocation methods are proposed. To further improve the loss recovery performance, caching policies can be employed in conjunction with the cache allocation strategies. Several caching policies, namely complete caching, random caching and deterministic caching, are proposed. Extensive simulation experiments are conducted to evaluate and compare the performance of the proposed strategies and policies. Numerical results reveal that significant performance gains can be achieved when a proper cache placement strategy and a caching policy are used for a given available cache resource. Another interesting finding is that the contributions of the cache placement scheme and caching policy to the recovery latency performance are roughly independent. The obtained insights in this study will provide some design guidelines for optimal active resource allocation and caching polices for reliable multicast communications.en_HK
dc.languageengen_HK
dc.publisherOxford University Press. The Journal's web site is located at http://ietcom.oxfordjournals.org/en_HK
dc.relation.ispartofIEICE Transactions on Communicationsen_HK
dc.subjectActive resourcesen_HK
dc.subjectCache allocationen_HK
dc.subjectCaching policyen_HK
dc.subjectRelibale multicasten_HK
dc.titleCaching policy and cache placement for active reliable multicasten_HK
dc.typeArticleen_HK
dc.identifier.emailYeung, KL:kyeung@eee.hku.hken_HK
dc.identifier.authorityYeung, KL=rp00204en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-10444263002en_HK
dc.identifier.hkuros140157en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-10444263002&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volumeE87-Ben_HK
dc.identifier.issue11en_HK
dc.identifier.spage3230en_HK
dc.identifier.epage3241en_HK
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridFeng, G=7401641884en_HK
dc.identifier.scopusauthoridSiew, CK=7007032792en_HK
dc.identifier.scopusauthoridLok, KW=6701574735en_HK
dc.identifier.scopusauthoridYeung, KL=7202424908en_HK

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