Abstract
Problem statement: Web service is a technology that provides flexibility and interconnection between different distributed applications over the Internet and intranets. When a client request cannot be satisfied by any individual service, existing web services can be combined into a composite web service. When there are a large number of Web services available, it is not easy to find an execution path of Web services composition that can satisfy the given request, since the search space for such a composition problem is in general exponentially increasing. Approach: In this study, we discuss and compare the two algorithms, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithm for solving this optimization problem of optimal web service selection and composition. Results: The end results indicate PSO perform better over GA for single and multi user service selections. Conclusion: Inferences from the results indicate the service selections from the registry of pooled services can be optimized with the usage of Optimization Algorithms like GA and PSO.
Highlights
Many companies are using the Web as a platform to communicate with their partners
Web service selection should be such that the services that most accurately meet the requirements are selected which can be done based on the non-functional attributes of Quality of Service (QoS) attached to each service
Web Service selection based on Genetic algorithm and the same based on Particle Swarm Optimization (PSO) algorithm is the second. discussions based on the results as a comparison between the two algorithms concludes the study
Summary
Many companies are using the Web as a platform to communicate with their partners. If the implementation of a web service’s business login involves the invocation of other web services, it is necessary to combine the functionality of several web services. In this case, we speak of a composite service. In real world scenario the life span of a particular service may make a particular service unavailable In such process of composition, selection of an appropriate web service from large numbers of available alternative services is the chief task. It is always preferred to give services based on the expectation of the consumers (Yamin and Ramayah, 2011) Selection should be such that the overall QoS gets improved in the composite web service.
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