期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：6
页码：7430-7438
出版社：TechScience Publications
摘要：In this paper, we employ Genetic Algorithm (GA) technique for minimizing the average bandwidth requirement in Near Video-on-Demand (NVoD) system. Three multicasting schemes are presented which require lesser bandwidth as compared to true Video-on Demand (VoD) systems. Scheme 1 is a double rate batching scheme in which the late arriving customers are served with unicast stream having double transmission rate until they get merged with the multicast stream. Scheme 2 is a client-buffering technique in which the unicast customers are allowed to concurrently buffer some part of the movie from the ongoing multicast stream. In scheme 3, the late arriving customers are served with bundled channels of incrementally increasing transmission rate. All the schemes are compared on the basis of the required bandwidth i.e. average number of I/O streams. The optimal batching time and the minimum streams required are determined by using GA. Numerical results are provided for verifying the analytical results with the GA results.
关键词：Genetic Algorithm; Near video on demand;Multicasting; Bandwidth; Optimization
