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DagStream: Locality Aware and Failure Resilient Peer-to-Peer Streaming

机译:DagStream:本地感知和故障恢复对等流

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Live peer to peer (P2P) media streaming faces many challenges such as peer unreliability and bandwidth heterogeneity. To effectively address these challenges, general "mesh" based P2P streaming architectures have recently been adopted. Mesh-based systems allow peers to aggregate bandwidth from multiple neighbors, and dynamically adapt to changing network conditions and neighbor failures. However, a drawback of mesh-based overlays is that it is difficult to guarantee network connectivity in a distributed fashion, especially when network locality needs to be optimized. This paper introduces a new P2P streaming framework called DagStream, which (1) organizes peers into a directed acyclic graph (DAG) where each node maintains at least k parents, thus has provable network connectivity (and hence failure resilience), and (2) enables peers to quickly achieve locality awareness in a distributed fashion, thus ensures efficient network resource usage. Our experiment results in both simulation and wide area environment show that with our DagStream protocol, peers can quickly self-organize into a locality aware DAG. Further, by selecting additional parents as needed, peers can achieve good streaming quality commensurate with their downlink bandwidth.
机译:实时对等(P2P)媒体流面临许多挑战,例如对等点不可靠和带宽异质性。为了有效应对这些挑战,最近已经采用了基于通用“网状”的P2P流体系结构。基于网格的系统允许对等方聚合来自多个邻居的带宽,并动态适应不断变化的网络状况和邻居故障。但是,基于网格的覆盖的缺点是难以以分布式方式保证网络连接性,特别是在需要优化网络局部性时。本文介绍了一种称为DagStream的新P2P流框架,该框架(1)将对等体组织到一个有向无环图(DAG)中,其中每个节点至少维护k个父节点,因此具有可证明的网络连接性(并因此具有故障恢复能力),以及(2)使对等方能够以分布式方式快速实现对位置的了解,从而确保有效利用网络资源。我们在模拟和广域环境中的实验结果表明,使用我们的DagStream协议,对等方可以快速地自组织为本地感知的DAG。此外,通过根据需要选择其他父母,对等方可以获得与其下行链路带宽相对应的良好流质量。

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