Stable group model in mobile peer-to-peer media streaming system

Guangtao Xue, Minglu Li, Qianni Deng, Jinyuan You
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引用次数: 6

Abstract

We study two key problems arising from mobile peer-to-peer media streaming: the stability of interconnection between supplying peers and requesting peers in the mobile peer-to-peer streaming system; and fast capacity amplification of the entire mobile peer-to-peer streaming system. Many algorithms for the fast capacity amplification of the peer-to-peer streaming system have been proposed. However, these algorithms are inefficient in the mobile ad-hoc networks. Topological dynamics of mobile peer-to-peer are exacerbated by the changes of mobile user's location and interest. We observe that the mobile users exhibit correlated mobility patterns in practical ad-hoc networks. We use the stable group algorithm to characterize user mobility in mobile ad-hoc networks. Based on the stable group, we then propose a distributed stable-group differentiated admission control algorithm (SGDAC/sub p2p/), which leads to fast amplifying of the system's total streaming capacity using self-growing. Finally, extensive simulation results are presented to compare between the SGDAC/sub p2p/ and traditional methods to prove the superiority of the algorithm.
移动点对点流媒体系统中的稳定群模型
研究了移动点对点流媒体产生的两个关键问题:在移动点对点流媒体系统中,提供端和请求端之间互连的稳定性;以及整个移动点对点流媒体系统的快速容量放大。为了实现点对点流系统的快速容量放大,已经提出了许多算法。然而,这些算法在移动自组织网络中效率低下。移动用户位置和兴趣的变化加剧了移动对等网络的拓扑动态。我们观察到,在实际的ad-hoc网络中,移动用户表现出相关的移动模式。我们使用稳定群算法来描述移动自组织网络中的用户移动性。在稳定群的基础上,我们提出了一种分布式稳定群差分接纳控制算法(SGDAC/sub p2p/),该算法通过自增长实现了系统总流容量的快速放大。最后,给出了大量的仿真结果,将SGDAC/sub p2p/与传统方法进行了比较,证明了该算法的优越性。
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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