HEAL DSpace

Recursive Non Linear Models for On Line Traffic Prediction of VBR MPEG Coded Video Sources

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dc.contributor.author Doulamis, A en
dc.contributor.author Doulamis, N en
dc.contributor.author Kollias, S en
dc.date.accessioned 2014-03-01T02:49:00Z
dc.date.available 2014-03-01T02:49:00Z
dc.date.issued 2000 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/34207
dc.subject Adaptive Algorithm en
dc.subject Asynchronous Transfer Mode en
dc.subject Atm Networks en
dc.subject Autoregressive Model en
dc.subject Broadband Network en
dc.subject Multimedia Services en
dc.subject Network Model en
dc.subject Network Traffic en
dc.subject Non-linear Model en
dc.subject Performance Evaluation en
dc.subject Traffic Prediction en
dc.subject Video Streaming en
dc.subject Variable Bit Rate en
dc.title Recursive Non Linear Models for On Line Traffic Prediction of VBR MPEG Coded Video Sources en
heal.type conferenceItem en
heal.identifier.primary 10.1109/IJCNN.2000.859382 en
heal.identifier.secondary http://dx.doi.org/10.1109/IJCNN.2000.859382 en
heal.publicationDate 2000 en
heal.abstract Any performance evaluation of broadband networks requires modeling of the actual network traffic. Since multimedia services and especially MPEG coded video streams are expected to be a major traffic component over these networks, modeling of such services and traffic prediction are useful for the reliable operation of the broadband based an Asynchronous Transfer Mode (ATM) networks. In this paper, a en
heal.journalName International Joint Conference on Neural Networks en
dc.identifier.doi 10.1109/IJCNN.2000.859382 en


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