摘要： 提出了一种基于用户行为的Locality型集群服务器结构,可以根据用户行为进行自适应的对象分组优化和集群节点的分组重构。采用改进的Apriori关联挖掘算法和基于最短距离的对象迁移算法,使得集群服务器整体负载降低,子集群负载均衡,用户响应速度提高。
关键词:
集群服务器,
自适应优化,
对象分组,
对象迁移
Abstract: An architecture of Locality-aware cluster server based on user behavior is put forward for adaptive optimization of object group and its reconstruction in cluster node according to user behavior. The improved Apriori algorithm and the object migration algorithm through the least distance decrease the whole balance of CS, balance the load of sub-cluster and reduce the response time of clients.
中图分类号:
燕彩蓉,沈钧毅,彭勤科,龚先定. 基于用户行为的集群服务器对象分组优化研究[J]. , 2005, 31(07): 127-.
YAN Cairong1, SHEN Junyi1, PENG Qinke2, GONG Xianding1. Research on Optimizing Object Group in Cluster Server Based on User Behavior[J]. , 2005, 31(07): 127-.