An Application of BP Neural Networks Based on Adaptive Genetic Algorithm for Load Balancing in VOD Cluster

摘要：

In view of BP neural network is simple and good characteristics of plasticity, and genetic algorithm is the inherent implicit parallel, better global optimization capability, adaptability and so on, established a BP neural network based on adaptive genetic algorithm for load balancing in VOD cluster. The testing results,compared with weighted round robin algorithm and weighted least connections algorithm, indicate that this algorithm reduces processor average time to complete the task, and increases the number of throughput and connectivity, and improve the handling capacity of the VOD server at no additional server or improving server configuration.

作者: Lina Zhang Xinhua Jiang

作者单位: College of Physics and Electronic Information Science, Inner Mongolia Normal University, Hohhot, Inn College of Computer and Information Engineering, Inner Mongolia Agricultural University, Hohhot, Inn

会议类型: 国际会议

会议名称: Third International Symposium on Intelligence Computation and Applications(ISICA 2008)(第三届智能自动化、计算与制造国际研讨会)

会议地点: 武汉

会议语种:英文

页码: 87-90

在线出版日期: 2008-12-19（万方平台首次上网日期，不代表论文的发表时间）