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Cost and profit driven cloud-P2P interaction - Springer

机译:成本和利润驱动的云P2P交互-Springer

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I consider two scenarios of prospective P2P-Cloud interaction. In the first one, client peers are interested in sharing video content with the help of the cloud. Due to a limited monetary budget, only a small fraction of the clients can have the content delivered directly via the cloud servers. The rest need to engage in a mesh-pull P2P broadcast to exchange the content among them. I propose a novel algorithm for constructing an equicentric distribution overlay, where peer neighborhoods exhibit homogenous latencies relative to the cloud. I demonstrate that the resulting topology exhibits the small-world property, and leads to increased data sharing and reduced play-out latency of the content among the peers. The clients are further equipped with a novel utility-driven packet scheduling strategy, where the packet’s utility is driven by its importance for the video reconstruction quality at the destination client and its rarity within the respective peer neighborhood. My simulation results show that the proposed protocols enhance the performance of a reference P2P broadcast system. Significant improvement in terms of average video quality is demonstrated over conventional solutions due to the proposed packet scheduling. The mesh construction strategy enables additional benefits in terms of frame-freeze frequency and play-out latency reduction, relative to the common approach of random peer selection. These lead to corresponding gains in video quality due to the improved continuity of the playback experience. The second scenario I investigate considers hybrid P2P-Cloud operation where the clients can lease computing resources to the cloud in exchange forprofit. I design cooperative and noncooperative strategies that the cloud and the clients can follow in order to maximize their respective objective functions, independently or jointly.
机译:我考虑了两种潜在的P2P-Cloud交互方案。在第一个中,客户对端有兴趣在云的帮助下共享视频内容。由于有限的资金预算,只有一小部分客户端可以直接通过云服务器交付内容。其余的需要进行网状P2P广播以在它们之间交换内容。我提出了一种用于构造等中心分布叠加的新颖算法,在该算法中,对等邻域表现出相对于云的均匀延迟。我证明了所得的拓扑具有小世界的特性,并导致增加了数据共享并减少了对等端之间内容的播放延迟。客户端还配备了一种新颖的,由实用程序驱动的包调度策略,其中,包的实用程序受其对目标客户端上视频重建质量的重要性及其在各个对等邻居中的稀有性的驱动。我的仿真结果表明,所提出的协议增强了参考P2P广播系统的性能。由于提出的分组调度,与常规解决方案相比,在平均视频质量方面得到了显着改善。相对于随机对等体选择的常用方法,网格构造策略在帧冻结频率和减少播放延迟方面具有其他优势。由于提高了回放体验的连续性,因此可以相应地提高视频质量。我研究的第二种情况考虑了混合P2P-云操作,客户端可以将计算资源租借到云以换取利润。我设计了云和客户可以遵循的合作和非合作策略,以最大程度地独立或共同发挥各自的目标功能。

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