CAJ | 학술논문

云计算环境下的知识服务是知识与服务的融合, 为知识管理、知识创新提供了新的发展方向。针对基于服务质量(QoS)的知识服务组合优化问题, 在云计算平台下实现和声搜索算法的并行化, 提出了云和声搜索算法。将Skyline方法和理想点法融入到云和声搜索算法中, 对云和声搜索算法进行改进, 提高了算法的运行效率, 确保了解的有效性。实验结果表明, 改进云和声搜索算法在求解知识服务组合优化问题上取得了较好的结果, 在解的质量以及算法的性能方面均有较好的表现。
운계산배경하적지식복무시지식여복무적융합, 위지식관리、지식창신제공료신적발전방향。침대기우복무질량(QoS)적지식복무조합우화문제, 재운계산평태하실현화성수색산법적병행화, 제출료운화성수색산법。장Skyline방법화이상점법융입도운화성수색산법중, 대운화성수색산법진행개진, 제고료산법적운행효솔, 학보료해적유효성。실험결과표명, 개진운화성수색산법재구해지식복무조합우화문제상취득료교호적결과, 재해적질량이급산법적성능방면균유교호적표현。
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.