基于遗传算法的P2P流媒体数据调度策略研究  

Research on Data Scheduling Strategy of P2P Streaming Media Based on Genetic Algorithm

作　　者：张立芳[1] 

机构地区：[1]长沙理工大学计算机与通信工程学院,长沙410076

出　　处：《计算机与数字工程》2009年第4期31-33,46,共4页Computer & Digital Engineering

摘　　要：介绍一种基于P2P的点播系统中的数据调度策略。该策略的主要特点是使用了遗传算法进行寻优,并针对该问题提出了相应的编码方式、适应度函数,罚函数以及控制服务器负载平衡的修补策略,在服务器和P2P网络中节点之间进行合理的分配调度数据,从而充分利用P2P网络中节点的资源以减轻服务器的负载。最后通过仿真实验,验证了算法的有效性。This paper introduces a data scheduling strategy of P2P streaming media. The major characteristic of this strategy is to adopt genetic algorithm for optimization so as to designate the coding method, fitness function, penalty function as well as modification policies for load balancing control of the server whose burden is further offloaded by the full use of node resources in P2P network. At last, the feasibility of the algorithm is testified through simulation experiment.

关 键 词：P2P 流媒体 遗传算法 调度策略 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]