Framework for the Development of An Optimized Solution for Quality of Service Delivery Using Fuzzy Logic and Genetic Algorithm.
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African Journal of Computing & ICT
Selection of Web Services is one of the most important steps in the application of different types of Web Services such as Web Service composition systems and the Universal Description, Discovery, and Integration (UDDI) registries. The more available these Web Services are on the Internet, the wider the number of these services whose functions match the various service requests. Therefore, selection of services to suit the users’ requirements has become an important, challenging and time consuming problem. Selecting Web Services with optimized solution largely depends on the Quality of Service (QoS) since it plays a significant role in selecting such services. The selection process based on QoS allows the user to specify their requirements not only based on functional attributes but also on non-functional attributes. The framework for an optimal system that will provide an optimal improvement using fuzzy and genetic algorithm during the selection process is proposed. Our architecture carries out the process of selecting an optimized solution stored or contained in the QoS database (KB). It is expected that its implementation will improve the selection process and optimize Quality of Service delivery in Web Services scenarios.
Web Services , Web Service composition systems , Universal Description, Discovery, and Integration , Genetic algorithm , Research Subject Categories::TECHNOLOGY::Information technology
Ogude, U.C and Onyejegbu, L.N (2015). Framework for the Development of An Optimized Solution for Quality of Service Delivery Using Fuzzy Logic and Genetic Algorithm. Afr J. of Comp & ICTs, Vol.8(3), 228-238pp.