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计算机工程 ›› 2007, Vol. 33 ›› Issue (12): 217-219. doi: 10.3969/j.issn.1000-3428.2007.12.076

• 多媒体技术及应用 • 上一篇    下一篇

基于遗传算法的P2P流媒体多播模型

安玉艳1,赵煜辉2,杨德国2,高 远2   

  1. (1. 秦皇岛外国语职业学院基础部,秦皇岛 066311;2. 东北大学秦皇岛分校,秦皇岛 066004)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-06-20 发布日期:2007-06-20

P2P Streaming Media Multicast Model Based on Genetic Algorithm

AN Yuyan1, ZHAO Yuhui2, YANG Deguo2, GAO Yuan2   

  1. (1. Departnent of Fundamental Courses, Qinhuangdao Foriegn Language Professional College, Qinhuangdao 066311; 2. Qinghuangdao School, Northeastern University, Qinghuangdao 066004)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-06-20 Published:2007-06-20

摘要: 为解决P2P流媒体通信中的流量控制问题,给出一个P2P社区覆盖多播通信优化模型及其建立覆盖核心多播树OCMT的QoS约束条件,并采用一个面向目标的遗传算法解决建立OCMT中的路径优化问题。仿真实验结果表明该模型能为建立具有低延迟和强扩展能力的核心多播树获得较优化的方案,并且有效地降低不同P2P社区间的数据流量,实现控制Internet流量的目的。

关键词: P2P, 流媒体, 覆盖多播, 遗传算法

Abstract: For solving the traffic problems of P2P community streaming media communication, an overlay multicast model is suggested and some QoS parameters are restricted in its overlay core multicast tree(OCMT). A genetic algorithm(GA)using destination-oriented representation is proposed to optimize the OCMT tree. Simulation experimental results show that the model can obtain a rather optimal solution for building the multicasting tree with features of low delay and high scalability, which can reduce the traffic of P2P communities, and control the whole traffic of Internet.

Key words: P2P, Streaming media, Overlay multicast, Genetic algorithm

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