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In this paper, we analyze a round-based pricing scheme that encouragesfavorable behavior from users of real-time P2P applications like P2PTV. In thedesign of pricing schemes, we consider price to be a function of usage andcapacity of download/upload streams, and quality of content served. Users areconsumers and servers at the same time in such networks, and often exhibitbehavior that is unfavorable towards maximization of social benefits.Traditionally, network designers have overcome this difficulty by building-intraffic latencies. However, using simulations, we show that appropriate pricingschemes and usage terms can enable designers to limit required trafficlatencies, and be able to earn nearly 30% extra revenue from providing P2PTVservices. The service provider adjusts the prices of individual programsincrementally within rounds, while making relatively large-scale adjustments atthe end of each round. Through simulations, we show that it is most beneficialfor the service provider to carry out 5 such rounds of price adjustments formaximizing his average profit and minimizing the associated standard deviationat the same time.

A Round-based Pricing Scheme for Maximizing Service Provider's Revenue in P2PTV Networks