西安电子科技大学学报（自然科学版）2017，Vol.44Issue(2)：127-132,6.DOI:10.3969/j.issn.1001-2400.2017.02.022
一种特征加权模糊聚类的负载均衡算法
Fuzzy clustering based load balancing algorithm with feature weighted
摘要
Abstract
Focusing on the data fusion problem of various loads, a fuzzy clustering based load balancing algorithm with feature weighted is proposed.First of all, various system resources are considered as dimensions for load metrics, and features for different dimensions are weighted so as to quantify comprehensive loads;then, this algorithm introduces fuzzy clustering, optimizes weight constraints, and adds penalty terms.Hence, the most suitable objective node cluster for load transferring is resolved through fuzzy clustering.Experimental results show that this algorithm can effectively fuse multidimensional load data and reduce standard deviation for node loads within the cluster by 21% compared with existing algorithms.关键词
负载均衡/模糊聚类/特征加权/目标函数/熵Key words
load balancing/fuzzy clustering/feature weighted/object function/entropy分类
信息技术与安全科学引用本文复制引用
黄伟华,马中,戴新发,徐明迪,高毅,刘利民..一种特征加权模糊聚类的负载均衡算法[J].西安电子科技大学学报（自然科学版）,2017,44(2):127-132,6.基金项目
国家自然科学基金资助项目(61502438) （61502438）
