Please use this identifier to cite or link to this item:
http://10.1.7.192:80/jspui/handle/123456789/2474
Title: | Optimization of Real Time Scheduling Using Ant Colony in Multimedia Streaming |
Authors: | Purvi, Kansara |
Keywords: | Split Split 2008 CE Split CE Split 2008 Computer 2008 Project Report 2008 Computer Project Report Project Report 08MCES 08MCES55 |
Issue Date: | 1-Jun-2011 |
Publisher: | Institute of Technology |
Series/Report no.: | 08MCES55 |
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. |
URI: | http://hdl.handle.net/123456789/2474 |
Appears in Collections: | Dissertation, CE |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
08MCES55.pdf | 08MCES55 | 1.51 MB | Adobe PDF | ![]() View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.