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首页> 外文期刊>電子情報通信学会技術研究報告. ネットワ-クシステム. Network Systems >A Stochastic Fluid Model Approach to the Analysis of User-Level QoS Performance of On-Demand P2P Streaming Services
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A Stochastic Fluid Model Approach to the Analysis of User-Level QoS Performance of On-Demand P2P Streaming Services

机译：随机流体模型方法分析按需P2P流服务的用户级QoS性能

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摘要

On-demand video streaming services have become popular in recent years. However, in current streaming services, the growth of user population leads to the lack of the upload rate of the video server. This mainly causes the starvation in the playout buffer at a client, resulting in the degradation of user-level QoS. In this paper, we consider an on-demand streaming service based on a P2P technology. Focusing on the stochastic behaviors of the volume of streaming contents in the playout buffer at a client peer, we develop an analytical stochastic fluid model, which takes into account the heterogeneity among peer nodes and the peer churn. Then we derive the starvation probability that the playout buffer is empty. Numerical examples show that the starvation probability increases according to the population size of peer nodes. It is also shown that when the population of peer nodes gets extremely large, a little increase in the upload rate at ordinary-peer nodes significantly improves the QoS of P2P streaming services.
机译：随选视频流服务近年来变得很流行。但是，在当前的流服务中，用户数量的增长导致缺乏视频服务器的上传速率。这主要是导致客户端播放缓冲区中的资源不足，从而导致用户级QoS下降。在本文中，我们考虑基于P2P技术的按需流服务。着眼于客户端对等端的播放缓冲区中的流式内容量的随机行为，我们开发了一种分析性随机流体模型，该模型考虑了对等端节点之间的异质性和对等方搅动。然后，我们得出播出缓冲区为空的饥饿概率。数值算例表明，饥饿概率根据对等节点的种群数量而增加。还显示出，当对等节点的数量变得非常大时，普通对等节点上载速率的少许提高会显着提高P2P流服务的QoS。

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