Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3390/sym11030403 | SYMMETRY-BASEL |
Keywords | Field | DocType |
dynamic service selection,global QoS constraints decomposition,fuzzy logic technology,Cultural Genetic Algorithm | Adaptability,Combinatorics,Fuzzy logic,Quality of service,Service selection,Web service,Genetic algorithm,Mathematics,Computation,Scalability,Distributed computing | Journal |
Volume | Issue | Citations |
11 | 3 | 1 |
PageRank | References | Authors |
0.37 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuan Yuan | 1 | 301 | 26.63 |
| Weishi Zhang | 2 | 193 | 24.30 |
| Xiuguo Zhang | 3 | 27 | 10.13 |
| Huawei Zhai | 4 | 2 | 3.02 |