Data scheduling strategy in P2P streaming system based on improved particle swarm optimization algorithm
1,LI Zhenxing1,LIU Zhuojun2
1. Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin Guangxi 541004, China
2. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China
Abstract:Data scheduling strategy in Peer-to-Peer (P2P) media streaming is the key research of the P2P media streaming system. A Particle Swarm Optimization (PSO) algorithm was modified according to P2P streaming data scheduling features and the style of digital encoding string for the algorithm was proposed in this paper. The data scheduling strategy to choose the data chunk took account of resource urgency and scarcity degree. The modified discrete particle swarm algorithm was used to choose the peers to get the optimal scheduling peers set. In order to verify the feasibility and effectiveness of the algorithm, experiments were done to simulate the convergence of the algorithm, the scheduling time, the P2P network uplink bandwidth utilization and the load balancing of peers.
陈光喜 李振兴 刘卓军. 基于改进粒子群算法的P2P流媒体数据调度策略[J]. 计算机应用, 2013, 33(04): 931-934.
LI Zhenxing LIU Zhuojun. Data scheduling strategy in P2P streaming system based on improved particle swarm optimization algorithm. Journal of Computer Applications, 2013, 33(04): 931-934.