Balancing Performance and Fairness in P2P Live Video Systems

Balancing Performance and Fairness in P2P Live Video Systems
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P2P直播视频系统的性能与公平性的平衡

DOI:
10.1109/tcsvt.2013.2249020
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发表时间:
2013-06
影响因子:
8.4
通讯作者:
Hei, Xiaojun
Hei, Xiaojun
中科院分区:
工程技术1区
文献类型:
--
作者:
Wu, Di;Liang, Yi;He, Jian;Hei, Xiaojun

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对流行的点对点视频直播系统的测量研究表明,在集群中,对等体之间存在着极端的不公平。这种不公平会对利他的超级同伴产生抑制作用,鼓励系统中的搭便车行为。视频服务提供商在设计系统时必须考虑公平性。本文建立了一个简单的P2P视频直播系统模型,从理论角度理解公平性问题。我们确定了公平性和性能之间的基本权衡,并提出了一种基于亚梯度方法的半分布式算法,在保持目标通用流媒体速率的同时,将P2P直播视频系统调整为最优公平性。我们还进行了广泛的跟踪驱动模拟来验证我们提出的算法的有效性。仿真结果表明,该算法可以在不降低流性能的前提下,快速引导系统达到最优公平性。
Measurement studies of popular peer-to-peer (P2P) live video systems reveal that there exists extreme unfairness among peers in the swarm. Such kind of unfairness will provide disincentives to altruistic super peers and encourage free riding behavior in the system. It is essential for video service providers to take fairness into consideration when designing their systems. In this paper, we develop a simple model of P2P live video systems to understand the fairness problem from a theoretic perspective. We identify the fundamental tradeoff between fairness and performance, and propose a semidistributed algorithm based on the subgradient method to tune the P2P live video system toward optimal fairness while still maintaining the targeted universal streaming rate. We also conduct extensive trace-driven simulations to validate the effectiveness of our proposed algorithm. The simulation results show that our algorithm can guide the system toward optimal fairness quickly without degrading streaming performance at the same time.
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