Systematic QoS class mapping framework over multiple heterogeneous networks

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dc.contributor.authorRyu, M.ko
dc.contributor.authorKim, Y.ko
dc.contributor.authorPark, Hong-Shikko
dc.date.accessioned2013-03-08T03:15:38Z-
dc.date.available2013-03-08T03:15:38Z-
dc.date.created2012-03-20-
dc.date.created2012-03-20-
dc.date.issued2008-
dc.identifier.citationLECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS), v.5174 LNCS, no.0, pp.212 - 221-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10203/91965-
dc.description.abstractA network defines its own Quality-Of-Service (QoS) class and has QoS support mechanisms. So, effectively to support end-to-end QoS in heterogeneous networks, a certain unified control is needed, however, it causes scalability problem as management complexity and implementation difficulty. There is a strong need to provide simple interoperability with QoS support so we present a QoS Class Mapping (QCM) framework: building blocks should be defined such as parameter mapping and class mapping. And we improve the framework, called as QCM-ASM, to support not only flawless class mapping but also fine-granular QoS in any circumstance. At last, another framework with adaptive QoS Class Selection (AQCS) mechanism, named as AQCM-ASM framework, is proposed. AQCS mechanism can prevent resource starvation of lower priority class and provide an effective resource distribution. As an experimental result, we demonstrate a performance of the proposed frameworks. The performance results show characteristics of each framework. © 2008 Springer-Verlag Berlin Heidelberg.-
dc.languageEnglish-
dc.publisherSpringer Verlag-
dc.titleSystematic QoS class mapping framework over multiple heterogeneous networks-
dc.typeArticle-
dc.identifier.scopusid2-s2.0-51849093057-
dc.type.rimsART-
dc.citation.volume5174 LNCS-
dc.citation.issue0-
dc.citation.beginningpage212-
dc.citation.endingpage221-
dc.citation.publicationnameLECTURE NOTES IN COMPUTER SCIENCE (INCLUDING SUBSERIES LECTURE NOTES IN ARTIFICIAL INTELLIGENCE AND LECTURE NOTES IN BIOINFORMATICS)-
dc.contributor.localauthorPark, Hong-Shik-
dc.contributor.nonIdAuthorRyu, M.-
dc.contributor.nonIdAuthorKim, Y.-
dc.subject.keywordAuthorHeterogeneous networks-
dc.subject.keywordAuthorInteroperability-
dc.subject.keywordAuthorQoS-
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EE-Journal Papers(저널논문)
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