GAMi： Genetic Algorithm-Based Middleware for QoS-Aware Web Services Selection  

作　　者：ZHANG Chengwen SU Sen CHEN Junliang 

机构地区：[1]Beijing University of Posts and Telecommunications, Beijing 100876, China

出　　处：《Chinese Journal of Electronics》2007年第3期537-542,共6页电子学报（英文版）

基　　金：This work is supported by the National Basic Research and Development Program （973 Program） of China （No.2003CB314806）; the National Natural Science Foundation of China （No.90204007）; the Program for Changjiang Scholars and Innovative Research Team in University （PCSIRT）.

摘　　要：In order to resolve services composition with the global QoS （Quality of service） constraints, a framework of QoS-aware services composition is presented. The core of the framework is a novel middleware for QoS-aware web services selection. According to the global QoS constraints of services composition proposed by users, the middleware can get the optimal composition from many composition candidates that accord with the functional requirements. The middleware includes mainly a novel genetic algorithm characterized by improved fitness value. The relation matrix coding scheme of chromosomes is its basis. The genetic algorithm also includes a mutation policy in order to promote the fitness of genetic algorithm. Experiments on QoS-aware web services selection show that the middleware based on genetic algorithm can gain effectively the composite service plan that satisfies the QoS requirements.

关 键 词：Web services selection Quality of service （QoS）-aware Genetic algorithm 

分 类 号：TN91[电子电信—通信与信息系统]