Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/2474
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dc.contributor.authorPurvi, Kansara-
dc.date.accessioned2011-07-06T11:37:11Z-
dc.date.available2011-07-06T11:37:11Z-
dc.date.issued2011-06-01-
dc.identifier.urihttp://hdl.handle.net/123456789/2474-
dc.description.abstractMultimedia streaming requires real time scheduling for e ective management of video frames during transmission.Real-Time scheduling is a np problem[12],[14].In multi- media application, it is not necessary for every instance of a repetitive task to meet its deadline as loss of certain frames in multimedia streams does not cause a signif- icant QoS degradation. So multimedia streams may have soft rm deadlines. Be- cause of the complexity of the network and real-time stream video on demand, the scheduling algorithm has great in uence on the QoS. Analysis and experiments of researchers show that Real Time Media Streaming is NP Hard Problem[14]. Swarm Intelligence[20] has proved to be an efficient technique for Optimization of the scheduling process.Implementation of ACO for scheduling provide better optimal solution in heterogenous environment also.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries08MCES55en_US
dc.subjectSpliten_US
dc.subjectSplit 2008en_US
dc.subjectCE Spliten_US
dc.subjectCE Split 2008en_US
dc.subjectComputer 2008-
dc.subjectProject Report 2008-
dc.subjectComputer Project Report-
dc.subjectProject Report-
dc.subject08MCES-
dc.subject08MCES55-
dc.titleOptimization of Real Time Scheduling Using Ant Colony in Multimedia Streamingen_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, CE

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