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Incentivized Peer-Assisted Streaming for On-Demand Services

机译：奖励式点播服务

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摘要

As an efficient distribution mechanism, Peer-to-Peer (P2P) technology has become a tremendously attractive solution to offload servers in large-scale video streaming applications. However, in providing on-demand asynchronous streaming services, P2P streaming design faces two major challenges: how to schedule efficient video sharing between peers with asynchronous playback progresses? how to provide incentives for peers to contribute their resources to achieve a high level of system-wide Quality-of-Experience (QoE)? In this paper, we present iPASS, a novel mesh-based P2P VoD system, to address these challenges. Specifically, iPASS adopts a dynamic buffering-progress-based peering strategy to achieve high peer bandwidth utilization with low system maintenance cost. To provide incentives for peer uploading, iPASS employs a differentiated prefetching design that enables peers with higher contribution prefetch content at higher speed. A distributed adaptive taxation algorithm is developed to balance the system-wide QoE and service differentiations among heterogeneous peers. To assess the performance of iPASS, we built a detailed packet-level P2P VoD simulator and conducted extensive simulations. It was demonstrated that iPASS can completely offload server when the average peer upload bandwidth is more than 1.2 times the streaming rate. Furthermore, we showed that the distributed incentive algorithm motivates peers to contribute and collaboratively achieve a high level of system wide QoE.
机译：作为一种有效的分发机制，对等（P2P）技术已成为在大型视频流应用程序中卸载服务器的极具吸引力的解决方案。但是，在提供按需异步流服务时，P2P流设计面临两个主要挑战：如何安排具有异步播放进度的同级之间的有效视频共享？如何激励对等方贡献他们的资源，以实现高水平的全系统体验质量（QoE）？在本文中，我们介绍了iPASS，这是一种新颖的基于网格的P2P VoD系统，可以应对这些挑战。具体来说，iPASS采用基于动态缓冲进程的对等策略，以实现高的对等带宽利用率，并降低系统维护成本。为了鼓励对等方上载，iPASS采用了差异化的预取设计，该设计可使对等方以较高的速度提供较高贡献的预取内容。开发了一种分布式自适应征税算法，以平衡异构对等方之间的系统范围QoE和服务差异。为了评估iPASS的性能，我们构建了详细的数据包级P2P VoD仿真器并进行了广泛的仿真。结果表明，当平均对等上传带宽超过流传输速率的1.2倍时，iPASS可以完全卸载服务器。此外，我们证明了分布式激励算法可以激励同伴做出贡献并共同实现高水平的系统范围QoE。

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