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Dynamic Application Profiles using Neural Networks for adaptive quality of service support in the Internet

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dc.contributor.author Tsetsekas, CA en
dc.contributor.author Fertis, AG en
dc.contributor.author Venieris, IS en
dc.date.accessioned 2014-03-01T01:24:01Z
dc.date.available 2014-03-01T01:24:01Z
dc.date.issued 2006 en
dc.identifier.issn 0140-3664 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/17172
dc.subject Differentiated Services en
dc.subject Dynamic Application Profiles en
dc.subject End-User Application Toolkit en
dc.subject Neural Networks en
dc.subject Quality of Service en
dc.subject.classification Computer Science, Information Systems en
dc.subject.classification Engineering, Electrical & Electronic en
dc.subject.classification Telecommunications en
dc.subject.other Distributed computer systems en
dc.subject.other Dynamic programming en
dc.subject.other Intelligent agents en
dc.subject.other Internet en
dc.subject.other Multimedia systems en
dc.subject.other Neural networks en
dc.subject.other Packet networks en
dc.subject.other Spectrum analysis en
dc.subject.other Differentiated Services en
dc.subject.other Distributed QoS architecture en
dc.subject.other Dynamic Application Profiles en
dc.subject.other End-User Application Toolkit en
dc.subject.other Quality of service en
dc.title Dynamic Application Profiles using Neural Networks for adaptive quality of service support in the Internet en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.comcom.2006.04.007 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.comcom.2006.04.007 en
heal.language English en
heal.publicationDate 2006 en
heal.abstract The Internet continues to evolve into a network that supports a wide spectrum of applications with diverse requirements. The introduction of multimedia poses delay, throughput and packet loss requirements towards the network and makes the provision of QoS a very important issue. In this paper, we present the concept of Dynamic Application Profiles for the transparent support of QoS in the Internet. The paper builds on existing work on a distributed QoS architecture, and uses intelligent mechanisms, such as Neural Networks, in an effort to provide dynamic QoS to network applications in a fashion comprehensible to the average end user. (c) 2006 Elsevier B.V. All rights reserved. en
heal.publisher ELSEVIER SCIENCE BV en
heal.journalName Computer Communications en
dc.identifier.doi 10.1016/j.comcom.2006.04.007 en
dc.identifier.isi ISI:000240391100024 en
dc.identifier.volume 29 en
dc.identifier.issue 15 en
dc.identifier.spage 2985 en
dc.identifier.epage 2995 en


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