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General Information
Editor-in-chief
Prof. T. Hikmet Karakoc
Anadolu University, Faculty of Aeronautics and Astronautics, Turkey

IJET 2010 Vol.2(2): 142-148 ISSN: 1793-8236
DOI: 10.7763/IJET.2010.V2.113

Transmission Cost Reduction Strategy for VoD Applications using Stochastic Approaches

M. Dakshayini and T. R. Gopalakrishnan Nair

Abstract—In Video-On-Demand system, the streaming of high quality videos consume a significant amount of communication network resources. Hence the network bandwidth requirement and the transmission cost are the two key parameters to be considered. As the cost of proxy server is decreasing and demand for reduced network usage and transmission cost is increasing day by day, newer architectures are explored, innovative schemes are arrived at. Proxy caching can be used as a vital technique to reduce the network usage and the transmission cost of the VoD system. In this paper, we present novel three layer architecture of interconnected proxy servers with main multimedia server and a Tracker to optimize the bandwidth requirement, transmission cost and the Service delay of the system. We also propose an efficient prefix caching and distribution algorithm with load sharing technique to achieve high video availability close to the client. The simulation results demonstrate that it achieves significantly reduced network usage between the main server and the proxy server, and hence this reduces the transmission cost when compared to the pure proxy -based caching without cooperation among the proxy servers.

Index Terms—Video Streaming, Proxy caching, video distribution, Load sharing, Transmission cost.

M. Dakshayini is with B M S College of Engineering, Bangalore, India (phone: 09880676988; fax: 080-26614357; e-mail: shantha_dakshu@yahoo.co.in).
T. R. Gopalakrishnan Nair, director of Research and Industry Incubation Centre, DSI, Bangalore (e-mail: trgnair@yahoo.com).

[PDF]

Cite: M. Dakshayini and Dr. T. R. Gopalakrishnan Nair, "Transmission Cost Reduction Strategy for VoD Applications using Stochastic Approaches," International Journal of Engineering and Technology vol. 2, no. 2, pp. 142-148, 2010.

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