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DC Field | Value | Language |
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dc.contributor.author | Purvi, Kansara | - |
dc.date.accessioned | 2011-07-06T11:37:11Z | - |
dc.date.available | 2011-07-06T11:37:11Z | - |
dc.date.issued | 2011-06-01 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/2474 | - |
dc.description.abstract | Multimedia 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.publisher | Institute of Technology | en_US |
dc.relation.ispartofseries | 08MCES55 | en_US |
dc.subject | Split | en_US |
dc.subject | Split 2008 | en_US |
dc.subject | CE Split | en_US |
dc.subject | CE Split 2008 | en_US |
dc.subject | Computer 2008 | - |
dc.subject | Project Report 2008 | - |
dc.subject | Computer Project Report | - |
dc.subject | Project Report | - |
dc.subject | 08MCES | - |
dc.subject | 08MCES55 | - |
dc.title | Optimization of Real Time Scheduling Using Ant Colony in Multimedia Streaming | en_US |
dc.type | Dissertation | en_US |
Appears in Collections: | Dissertation, CE |
Files in This Item:
File | Description | Size | Format | |
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08MCES55.pdf | 08MCES55 | 1.51 MB | Adobe PDF | ![]() View/Open |
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