Mesh-based peer-to-peer layered video streaming with taxation

Hao Hu, Yang Guo, Yong Liu
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引用次数: 19

Abstract

Recent advance in scalable video coding (SVC) makes it possible for users to receive the same video with different qualities. To adopt SVC in P2P streaming, two key design questions need to be answered: 1) layer subscription: how many layers each peer should receive? 2) layer scheduling: how to deliver to peers the layers they subscribed? From the system point of view, the most efficient solution is to maximize the aggregate video quality on all peers, i.e., the social welfare. From individual peer point of view, the solution should be fair. Fairness in P2P streaming should additionally take into account peer contributions to make the solution incentive-compatible. In this paper, we show that taxation mechanisms can be devised to strike the right balance between social welfare and individual peers' welfare. We develop practical taxation-based P2P layered streaming designs, including layer subscription strategy, chunk scheduling policy, and mesh topology adaptation. Extensive trace-driven simulations show that the proposed designs can effectively drive layered P2P streaming systems to converge to the desired operating points in a distributed fashion.
基于网格的点对点分层视频流与税收
可扩展视频编码(SVC)的最新进展使得用户可以接收不同质量的相同视频。为了在P2P流媒体中采用SVC,需要回答两个关键的设计问题:1)层订阅:每个对等端应该接收多少层?2)层调度:如何向对等体交付他们订阅的层?从系统的角度来看,最有效的解决方案是最大化所有节点上的视频质量总和,即社会福利。从个别同行的角度来看,解决方案应该是公平的。P2P流媒体的公平性还应考虑到对等贡献,以使解决方案与激励兼容。在本文中,我们表明可以设计税收机制来实现社会福利和个体同伴福利之间的适当平衡。我们开发了实用的基于税收的P2P分层流设计,包括层订阅策略、块调度策略和网格拓扑自适应。大量的跟踪驱动仿真表明,所提出的设计可以有效地驱动分层P2P流系统以分布式方式收敛到期望的操作点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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