采用改进粒子群的P2P流媒体数据调度算法

P2P技术解决了传统流媒体应用中的不能支持大用户的问题.而数据调度算法一直是P2P流媒体研究领域中的核心问题.为了减轻服务器的负载, 并且有效利用P2P网络中节点的资源.本文提出一种基于改进粒子群算法的P2P流媒体数据调度方法.该算法使用了粒子群算法进行寻优,并对粒子群算法进行改进,算法中定义了 "加法"运算,替换原来的速度方程,并增加变异算子,防止早熟收敛.最后通过对比实验验证了算法的有效性.

Using Improved Particle Swarm Optimization for P2P Streaming Media Data Scheduling Algorithm

P2P technology to solve the traditional streaming media applications can not support large users. The data scheduling algorithm for P2P streaming media has been a research field in the core problem. In order to reduce the server load, and use of P2P nodes in the network resources effective. This paper presents an improved particle swarm optimization algorithm based on P2P streaming media data scheduling method. The algorithm uses a particle swarm optimization algorithm, and improved particle swarm algorithm, the algorithm is defined in the "addition" operation to replace the original rate equation, and to increase the mutation operator to prevent premature convergence. The comparing experiment verification of the effectiveness of the algorithm