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An Optimal Approach for Web Service Selection

With the rapid growth in cloud computing and service computing, Web Services have combined to form the composite service. For achieving desired functionality, it is vital to select a particular service which offers similar functionality and while selecting a service, a decision should rely on the relevant Quality of Service(QoS) attributes. Emphasis is being placed on how to find an optimal service which satisfies both the functional and non-functional requirements. Existing approaches either ignore the role of requestors non-functional requirement or assigns an arbitrary value to the constraints to be considered. In this paper, we first formulate the problem mathematically by greedy approach then, generate the optimal solution for the input of service composition. For a large dataset problem of web service,use of quadratic equation is proposed. By simulation,we conclude that by using more than one heuristic approaches,more relevant and optimal results are possible if we use the summing of Z-score and decimal scaling than the min max normalization and a quadratic assignment.