Hussain Aljafer
ABSTRACT
Cloud computing has become a major building block for Web applications where the service providers provide the costumers with Web services performing certain tasks so the system developers can use these services instead of implementing them. Service computing follows the "pay-per-use" as a model for pricing. Due to the variety of service providers, we have many different prices for services and these services have different performance characteristics. The problem here is how to find the best services in terms of cost and performance and is it feasible to switch from one service provider to another. In this paper we propose Wcost, a scheme to resolve this problem based on P-OCEA algorithm which is a combination of P-Optimality and Genetic algorithms which result in more efficient solution than Genetic Algorithm approaches. Our proposed scheme includes a flexible and easily customizable objective function that is suitable for different types of Web services to be composed.
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- Web service cost optimization
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