Dynamic Service Selection Based on Adaptive Global QoS Constraints Decomposition
Dynamic Service Selection Based on Adaptive Global QoS Constraints Decomposition
复制标题
基于自适应全局QoS约束分解的动态服务选择
DOI:
10.3390/sym11030403
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发表时间:
2019-03
期刊:
影响因子:
2.7
通讯作者:
Zhai Huawei
中科院分区:
文献类型:
--
作者:
Yuan Yuan;Zhang Weishi;Zhang Xiuguo;Zhai Huawei
As there are more and more available Web services with the same or similar functionalities but different Quality of Service (QoS), the challenge of QoS-aware service composition is to efficiently select appropriate component services to achieve maximum utility and meet the global QoS constraints with low time cost. In this paper, we propose a dynamic service selection approach based on adaptive global QoS constraints decomposition. Fuzzy logic technology and Cultural Genetic Algorithm are used to adaptively decompose global QoS constraints into near-optimal local constraints. According to the near-optimal local constraints, the optimal service is selected for each service class during the running time efficiently. Experimental results show that the proposed approach not only achieves the near-optimal solution, but also significantly reduces the computation time, and has good adaptability and scalability.
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