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Re-exploring the Potential of using Tree Structure in P2P Live Streaming Networks

机译:重新探索在P2P直播流网络中使用树结构的潜力

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The current Peer-to-Peer (P2P) live streaming networks can be generally classified into two categories: tree-based and data-driven. The tree-based approach suffers from three limitations: interruptive delivery due to failures of high level nodes, unfair uploading (outgoing) bandwidth utilization in leaf nodes and bandwidth bottleneck in nodes near the root. The data driven approach has been widely studied recently to tackle the defects of the tree-based approach mentioned above. However the tree-based approach still has its advantages: deterministic delivery path length and predictable delay, and natural support to PUSH mode content delivery. Because of these advantages the tree-based approach will not be simply replaced by the data-driven approach. Based on this consideration, we propose a cluster-based approach to remedy the disadvantages of the normal tree-based approach and meanwhile retain its advantages as much as possible. By grouping peers into clusters, the content delivery tree constructed by clusters can maintain a stable overlay structure and transmission direction in a dynamic network environment. Simulation results show that our approach can effectively overcome the shortages of the single tree-based approach and outperform the data-driven approach in terms of deterministic content delivery path and predictable path length.
机译:目前的点对点(P2P)直播流网络通常可以分为两类:基于树和数据驱动的。基于树的方法遭受了三个限制:由于高级节点的故障,不公平上传(传出)带宽利用叶节点的带宽利用率和root附近的节点中的带宽瓶颈因叶子的带宽瓶颈而受中断交付。最近已经广泛研究了数据驱动方法,以解决上述基于树的方法的缺陷。然而,基于树的方法仍然具有其优点:确定性传送路径长度和可预测的延迟,以及推动模式内容递送的自然支持。由于这些优点,基于树的方法不会被数据驱动方法更换。基于这一考虑,我们提出了一种基于集群的方法来弥补正常的基于树的方法的缺点,同时尽可能地保持其优点。通过将对等体分组成簇,由集群构成的内容递送树可以在动态网络环境中保持稳定的覆盖结构和传输方向。仿真结果表明,我们的方法可以有效地克服了基于树木的方法的短缺,并在确定性内容传送路径和可预测路径长度方面优于数据驱动方法。

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