P2PTV网络中服务提供商收益最大化的轮制定价方案
A Round-based Pricing Scheme for Maximizing Service Provider's Revenue in P2PTV Networks
摘要：
在本文中，我们分析了一个基于轮的定价方案，鼓励从实时P2P应用程序，如P2PTV用户的良好行为。在定价方案的设计中，我们认为价格是下载/上传流的使用和容量以及所提供内容的质量的函数。在这样的网络中，用户既是消费者又是服务者，往往表现出不利于社会效益最大化的行为。传统上，网络设计人员通过内置流量延迟来克服这一困难。然而，使用模拟，我们表明，适当的定价方案和使用条款，可以使设计人员限制所需的流量延迟，并能够赚取近30%的额外收入，提供P2PTV服务。服务提供商在每轮内逐步调整单个节目的价格，同时在每轮结束时进行相对大规模的调整。通过模拟，我们表明，这是最有利的服务提供商进行5轮这样的价格调整，以最大限度地提高他的平均利润，并在同一时间最小化相关的标准差。
英文摘要：
In this paper, we analyze a round-based pricing scheme that encourages favorable behavior from users of real-time P2P applications like P2PTV. In the design of pricing schemes, we consider price to be a function of usage and capacity of download/upload streams, and quality of content served. Users are consumers and servers at the same time in such networks, and often exhibit behavior that is unfavorable towards maximization of social benefits. Traditionally, network designers have overcome this difficulty by building-in traffic latencies. However, using simulations, we show that appropriate pricing schemes and usage terms can enable designers to limit required traffic latencies, and be able to earn nearly 30% extra revenue from providing P2PTV services. The service provider adjusts the prices of individual programs incrementally within rounds, while making relatively large-scale adjustments at the end of each round. Through simulations, we show that it is most beneficial for the service provider to carry out 5 such rounds of price adjustments for maximizing his average profit and minimizing the associated standard deviation at the same time.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
