Journal
SYMMETRY-BASEL
Volume 11, Issue 3, Pages -Publisher
MDPI
DOI: 10.3390/sym11030403
Keywords
dynamic service selection; global QoS constraints decomposition; fuzzy logic technology; Cultural Genetic Algorithm
Categories
Funding
- National Natural Science Foundation of China [51479021, 51679025]
- Liaoning Provincial Natural Science Foundation of China [20170520196]
- Fundamental Research Funds for the Central Universities [3132016308, 3132018197]
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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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