Media synchronization in multimedia Web using a neuro-fuzzy framework
We consider the problem of multimedia synchronization in a Web environment. The workload generated by the multimedia server during a Web session exhibits variations that are quite different from the traffic fluctuation offered by a single media stream, e.g., a variable bit rate (VBR) video. We propo...
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Veröffentlicht in: | IEEE journal on selected areas in communications 2000-02, Vol.18 (2), p.168-183 |
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creator | Ali, Z. Ghafoor, A. Lee, C.S.G. |
description | We consider the problem of multimedia synchronization in a Web environment. The workload generated by the multimedia server during a Web session exhibits variations that are quite different from the traffic fluctuation offered by a single media stream, e.g., a variable bit rate (VBR) video. We propose a set of parameters that can be used to characterize the workload generated by the multimedia server in a Web-type browsing environment. The workload characterization scheme is subsequently used in designing a server-based synchronization scheme. The problem of scheduling multimedia information to ensure media synchronization in a Web environment is identified as a multicriteria scheduling problem, which is NP-hard. The ability of fuzzy control to deal with multivariables makes it a good alternative for the multicriteria scheduling problem considered. Consequently, we propose a neuro-fuzzy scheduler (NFS) that makes an intelligent compromise among multicriteria by properly combining some scheduling heuristics. Performance of the NFS is compared with several known heuristics and a branch and bound algorithm. The results show that the proposed NFS ran dynamically adjust to the varying workload quite well. |
doi_str_mv | 10.1109/49.824792 |
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The workload generated by the multimedia server during a Web session exhibits variations that are quite different from the traffic fluctuation offered by a single media stream, e.g., a variable bit rate (VBR) video. We propose a set of parameters that can be used to characterize the workload generated by the multimedia server in a Web-type browsing environment. The workload characterization scheme is subsequently used in designing a server-based synchronization scheme. The problem of scheduling multimedia information to ensure media synchronization in a Web environment is identified as a multicriteria scheduling problem, which is NP-hard. The ability of fuzzy control to deal with multivariables makes it a good alternative for the multicriteria scheduling problem considered. Consequently, we propose a neuro-fuzzy scheduler (NFS) that makes an intelligent compromise among multicriteria by properly combining some scheduling heuristics. 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The workload generated by the multimedia server during a Web session exhibits variations that are quite different from the traffic fluctuation offered by a single media stream, e.g., a variable bit rate (VBR) video. We propose a set of parameters that can be used to characterize the workload generated by the multimedia server in a Web-type browsing environment. The workload characterization scheme is subsequently used in designing a server-based synchronization scheme. The problem of scheduling multimedia information to ensure media synchronization in a Web environment is identified as a multicriteria scheduling problem, which is NP-hard. The ability of fuzzy control to deal with multivariables makes it a good alternative for the multicriteria scheduling problem considered. Consequently, we propose a neuro-fuzzy scheduler (NFS) that makes an intelligent compromise among multicriteria by properly combining some scheduling heuristics. Performance of the NFS is compared with several known heuristics and a branch and bound algorithm. The results show that the proposed NFS ran dynamically adjust to the varying workload quite well.</description><subject>Algorithms</subject><subject>Bit rate</subject><subject>Character generation</subject><subject>Communication system control</subject><subject>Fluctuations</subject><subject>Fuzzy control</subject><subject>Fuzzy logic</subject><subject>Fuzzy sets</subject><subject>Intelligent networks</subject><subject>Internet</subject><subject>Job shop scheduling</subject><subject>Media</subject><subject>Multimedia</subject><subject>Scheduling</subject><subject>Servers</subject><subject>Streaming media</subject><subject>Studies</subject><subject>Synchronism</subject><subject>Synchronization</subject><subject>Workload</subject><issn>0733-8716</issn><issn>1558-0008</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2000</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqF0T1PwzAQBmALgUQpDKxMEQOIIcWOHX-MqCofUhELiNFykjO4NE6xE6H21xNIxcAA0w3vozudXoSOCZ4QgtUlUxOZMaGyHTQieS5TjLHcRSMsKE2lIHwfHcS4wJgwJrMRmt1D5UwS1758DY13G9O6xifOJ3W3bF39nT5DkXTR-ZfEJB660KS222zWiQ2mho8mvB2iPWuWEY62c4yermeP09t0_nBzN72apyXlok2tpUByY4UVBSEgKyUwrXJWMG65on0qRIVNYQoogMnKZiWHnFIlDa4KzugYnQ97V6F57yC2unaxhOXSeGi6qBVhnErJeS_P_pSZpJyR_ui_UORSCJX38PQXXDRd8P27WsocU8K57NHFgMrQxBjA6lVwtQlrTbD-KkgzpYeCensyWAcAP24bfgI82YrG</recordid><startdate>20000201</startdate><enddate>20000201</enddate><creator>Ali, Z.</creator><creator>Ghafoor, A.</creator><creator>Lee, C.S.G.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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The workload generated by the multimedia server during a Web session exhibits variations that are quite different from the traffic fluctuation offered by a single media stream, e.g., a variable bit rate (VBR) video. We propose a set of parameters that can be used to characterize the workload generated by the multimedia server in a Web-type browsing environment. The workload characterization scheme is subsequently used in designing a server-based synchronization scheme. The problem of scheduling multimedia information to ensure media synchronization in a Web environment is identified as a multicriteria scheduling problem, which is NP-hard. The ability of fuzzy control to deal with multivariables makes it a good alternative for the multicriteria scheduling problem considered. Consequently, we propose a neuro-fuzzy scheduler (NFS) that makes an intelligent compromise among multicriteria by properly combining some scheduling heuristics. 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source | IEEE Electronic Library (IEL) |
subjects | Algorithms Bit rate Character generation Communication system control Fluctuations Fuzzy control Fuzzy logic Fuzzy sets Intelligent networks Internet Job shop scheduling Media Multimedia Scheduling Servers Streaming media Studies Synchronism Synchronization Workload |
title | Media synchronization in multimedia Web using a neuro-fuzzy framework |
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