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Batch-based flash crowd relaxation in cloud-assisted P2P live streaming

机译:云辅助P2P实时流中基于批次的Flash人群放松

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This paper proposes a batch-based method to effectively relax the flash crowd in P2P live streaming systems with the aid of the cloud. The role of the cloud is twofolds. The first one is to determine the concrete overlay structure of batches consisting of nodes waiting in the request queue which is restricted to be a multiple-spanning-tree. With this approach we could maximize the resource utilization in each batch without increasing the load of the tracker. The second one is to feed recently issued chunks to the gateway of batches before connecting them to the existing overlay. The performance of the proposed method is evaluated by simulation. The result of simulations indicates that: 1) the proposed method reduces the waiting time of conventional method by 80%, and 2) the amount of data fetched from the cloud could effectively be reduced by decreasing the size of batches.
机译:本文提出了一种基于批处理的方法,以借助云有效地放松P2P实时流系统中的闪存人群。云的作用是双重的。第一个是确定批处理的具体覆盖结构,该结构由在请求队列中等待的节点组成,这些节点被限制为多生成树。通过这种方法,我们可以在不增加跟踪器负载的情况下最大化每个批次中的资源利用率。第二个方法是在将最近发布的块连接到现有覆盖之前,将它们最近发送到批处理网关。通过仿真评估了该方法的性能。仿真结果表明:1)提出的方法将传统方法的等待时间减少了80%; 2)可以通过减少批的大小来有效地减少从云中获取的数据量。

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