Dynamic services selection algorithm in Web services composition supporting cross-enterprises collaboration |
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Authors: | Chun-hua Hu Xiao-hong Chen and Xi-ming Liang |
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Affiliation: | (1) School of Business, Central South University, Changsha, 410083, China;(2) School of Computer and Electronic Engineering, Hunan University of Commerce, Changsha, 410205, China;(3) School of Information Science and Engineering, Central South University, Changsha, 410083, China |
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Abstract: | Based on the deficiency of time convergence and variability of Web services selection for services composition supporting
cross-enterprises collaboration, an algorithm QCDSS (QoS constraints of dynamic Web services selection) to resolve dynamic
Web services selection with QoS global optimal path, was proposed. The essence of the algorithm was that the problem of dynamic
Web services selection with QoS global optimal path was transformed into a multi-objective services composition optimization
problem with QoS constraints. The operations of the cross and mutation in genetic algorithm were brought into PSOA (particle
swarm optimization algorithm), forming an improved algorithm (IPSOA) to solve the QoS global optimal problem. Theoretical
analysis and experimental results indicate that the algorithm can better satisfy the time convergence requirement for Web
services composition supporting cross-enterprises collaboration than the traditional algorithms.
Foundation item: Project(70631004) supported by the Key Project of the National Natural Science Foundation of China; Project(20080440988)
supported by the Postdoctoral Science Foundation of China; Project(09JJ4030) supported by the Natural Science Foundation of
Hunan Province, China; Project supported by the Postdoctoral Science Foundation of Central South University, China |
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Keywords: | Web services composition optimal service selection improved particle swarm optimization algorithm (IPSOA) cross-enterprises collaboration |
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