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.
This work is supported in part by NSF grant CNS-0834537.
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Al-Hadrusi, M.S., Sarhan, N.J. (2012). Client-Driven Price Selection for Scalable Video Streaming with Advertisements. In: Schoeffmann, K., Merialdo, B., Hauptmann, A.G., Ngo, CW., Andreopoulos, Y., Breiteneder, C. (eds) Advances in Multimedia Modeling. MMM 2012. Lecture Notes in Computer Science, vol 7131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27355-1_40
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DOI: https://doi.org/10.1007/978-3-642-27355-1_40
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