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作 者:HUO Ying ZHANG Jiande
机构地区:[1]School of Computer Engineering,Nanjing Institute of Technology,Nanjing 211167,China
出 处:《Journal of Systems Engineering and Electronics》2020年第4期743-750,共8页系统工程与电子技术(英文版)
基 金:supported by the National Natural Science Foundation for Youth of China(61802174);the Natural Science Foundation for Youth of Jiangsu Province(BK20181016);the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(18KJB520019);the Scientific Research Foundation of Nanjing Institute of Technology of China(CXY201922)。
摘 要:The concept of service composition can provide the complex functionality for users. As the widespread application of cloud computing, the number of services grows exponentially. It becomes more difficult to find out the optimal service composition solution quickly. This paper proposes a nonlinear service composition method based on the Skyline operator. The Skyline operator is to find a collection of data that cannot be dominated by others, which is used to prune the redundant services to reduce the search space. Then the service composition problem is formulated as a nonlinear integer programming model by a mathematical programming language(AMPL), and solved by the existing nonlinear solvers Bonmin. The experiments show that the proposed method can effectively improve the efficiency of service composition, while ensuring the quality of solution.
关 键 词:quality of service service composition Skyline service branch-and-bound Skyline
分 类 号:TP301.6[自动化与计算机技术—计算机系统结构]
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