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Quality-of-service adaptive control of multimedia services in short-term resource reservation networks

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dc.contributor.author Rovithakis, GA en
dc.contributor.author Malamos, AG en
dc.contributor.author Varvarigou, T en
dc.contributor.author Christodoulou, MA en
dc.date.accessioned 2014-03-01T01:22:59Z
dc.date.available 2014-03-01T01:22:59Z
dc.date.issued 2005 en
dc.identifier.issn 0196-9722 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/16758
dc.subject Adaptive Control en
dc.subject Multimedia Services en
dc.subject Quality of Service en
dc.subject Resource Reservation en
dc.subject.classification Computer Science, Cybernetics en
dc.subject.other Adaptive control systems en
dc.subject.other Algorithms en
dc.subject.other Computational complexity en
dc.subject.other Computer simulation en
dc.subject.other Lyapunov methods en
dc.subject.other Neural networks en
dc.subject.other Quality assurance en
dc.subject.other Quality of service en
dc.subject.other Video conferencing en
dc.subject.other Video telephone equipment en
dc.subject.other Wireless telecommunication systems en
dc.subject.other Lyapunov theory en
dc.subject.other Media quality en
dc.subject.other Multimedia applications en
dc.subject.other Network infrastructure en
dc.subject.other Multimedia systems en
dc.title Quality-of-service adaptive control of multimedia services in short-term resource reservation networks en
heal.type journalArticle en
heal.identifier.primary 10.1080/01969720590908267 en
heal.identifier.secondary http://dx.doi.org/10.1080/01969720590908267 en
heal.language English en
heal.publicationDate 2005 en
heal.abstract Present multimedia services are provided through a heterogeneous set of networks. Because of the heterogeneity of the networks, long-term resource availability guarantees are difficult to obtain. Consequently, even if the resource requirements throughout the service could be accurately mapped, it would not be feasible to provide overall performance guarantees. Application adaptation arises as an appropriate solution for quality-of-service assurance in such dynamic service infrastructures. Application adaptation basically involves adapting application characteristics according to the network resource availability. We formulate the problem of adaptation of multimedia applications to network infrastructure as well as to user- and application-imposed constraints and preferences. We benefit from the good approximation, identification, and control capabilities of recurrent high-order neural networks and we introduce an algorithm that guarantees the resource constraints of the network infrastructure will not be violated while maintaining the user and application requirements. Copyright © 2005 Taylor & Francis Inc. en
heal.publisher TAYLOR & FRANCIS INC en
heal.journalName Cybernetics and Systems en
dc.identifier.doi 10.1080/01969720590908267 en
dc.identifier.isi ISI:000227495800002 en
dc.identifier.volume 36 en
dc.identifier.issue 3 en
dc.identifier.spage 251 en
dc.identifier.epage 281 en


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