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On Maximizing Tree Bandwidth for Topology-Aware Peer-to-Peer Streaming

机译:关于最大化拓扑感知对等流的树带宽

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摘要

In recent years, there has been an increasing interest in peer-to-peer (P2P) multimedia streaming. In this paper, we consider constructing a high-bandwidth overlay tree for streaming services. We observe that underlay information such as link connectivity and link bandwidth is important in tree construction, because two seemingly disjoint overlay paths may share common links on the underlay. We hence study how to construct a high-bandwidth overlay tree given the underlay topology. We formulate the problem as building a Maximum Bandwidth Multicast Tree (MBMT) or a Minimum Stress Multicast Tree (MSMT), depending on whether link bandwidth is available or not. We prove that both problems are NP-hard and are not ap-proximable within a factor of (2/3 + epsiv), for any epsiv > 0, unless P = NP. We then present approximation algorithms to address them and analyze the algorithm performance. Furthermore, we discuss some practical issues (e.g., group dynamics, resilience and scalability) in system implementation. We evaluate our algorithms on Internet-like topologies. The results show that our algorithms can achieve high tree bandwidth and low link stress with low penalty in end-to-end delay. Measurement study based on Plan-etLab further confirms this. Our study shows that the knowledge of underlay is important for constructing efficient overlay trees.
机译:近年来,人们对P2P多媒体流越来越感兴趣。在本文中,我们考虑为流服务构建一个高带宽覆盖树。我们观察到诸如链接连接性和链接带宽之类的底层信息在树结构中很重要,因为两个看似不相交的叠加路径可能共享底层上的公共链接。因此,我们研究了在给定底层拓扑的情况下如何构建高带宽覆盖树。我们将问题描述为建立最大带宽组播树(MBMT)或最小压力组播树(MSMT),具体取决于链路带宽是否可用。我们证明,对于任何epsiv> 0,除非P = NP,否则这两个问题都是NP难题,并且在(2/3 + epsiv)的因数内不是近似的。然后,我们提出近似算法来解决它们并分析算法性能。此外,我们讨论了系统实施中的一些实际问题(例如,组动态,弹性和可伸缩性)。我们在类似Internet的拓扑上评估我们的算法。结果表明,我们的算法可以实现较高的树带宽和较低的链路压力,并且对端到端的延迟损失较小。基于Plan-etLab的测量研究进一步证实了这一点。我们的研究表明,底层知识对于构建有效的覆盖树很重要。

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