Client-driven price selection for scalable video streaming with advertisements

Authors:
Musab S. Al-Hadrusi;Nabil J. Sarhan
Affiliations:
Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI;Department of Electrical and Computer Engineering, Wayne State University, Detroit, MI
Venue:
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Year:
2012

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Abstract

This paper considers the scalable delivery framework of streaming video content with advertisements. In this framework, the revenues generated from the ads are used to subsidize the cost and thus attract more clients. We analyze a predictive scheme that provides clients with multiple price options, each with a certain number of expected viewed ads. The price depends on the royalty fee of the requested video, its delivery cost based on the current system state, the applied scheduling policy, and the number of viewed ads. The price is lower when the number of viewed ads is larger.