Cloud harmony search algorithms for optimization of composite knowledge as a service
云和声搜索算法及其在知识服务组合中的应用

Knowledge as a service (KaaS) is the integration of knowledge and services in cloud computing, which provids a new area for knowledge management and knowledge innovation. This paper presented the harmony search (HS) algorithm to solve the composite KaaS based on quality of service (QoS), and also proposed cloud harmony search (CHS) algorithm, which parallelized HS. With introducing the method of Skyline and TOPSIS, it improved the efficiency and effectiveness. Results of experimental demonstrate the superiority of the improved cloud harmony search (ICHS) algorithm for optimization of composite KaaS in the quality of solution and algorithm performance.