Abstract
An improved Particle Swarm Optimization Algorithm for QoS-aware Web Service Selection in Service Oriented Communication
Highlights
The service-oriented architecture 1 and its realization through web service technologies provide a promising solution for the seamless integration of telecom applications to create new value-added services
Two parts of simulations are taken to validate the effectiveness of improved Particle Swarm Optimization Algorithm (iPSOA) with the Adaptive Weight Adjustment (AWA), Non-Uniform Mutation (NUM) and Local Best First (LBF) strategies for solving the Quality of Service (QoS)-aware web service selection problem
Numerous simulation comparisons have been performed to illustrate the effectiveness of each strategy respectively in the first part, and the second part gives the comparisons among four algorithms, namely QCDSS 24, CoDiGA 19, iPSOA, PSOA, to show the integrated performance of iPOSA
Summary
The service-oriented architecture 1 and its realization through web service technologies provide a promising solution for the seamless integration of telecom applications to create new value-added services. Industrial practices witness a growing interest in Service Oriented Communication 2, with which communication capabilities and network applications are encapsulated as web services (WSs) to enable communication and multimedia delivery by compositing these WSs according to certain logic. With the growing number of WSs that provide the same functionality but differ in. QoS, it becomes more and more important in the selection of component services with regards to nonfunctional requirements 3-4.
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