A fuzzy MADM approach for grid services composition

In service oriented computing applications, different resources in grid systems are encapsulated abstractly as services. Sometime, single service software can provide valuable service functions for service consumers, but most of the time, single atomic service can not satisfy them. In this case, the system builds a new composite service, which selects all available qualified grid service for composition. Services with similar and compatible functionality may be offered at different QoS levels. Thus, to build a service process, decisions must be made to select component services at appropriate QoS levels. Therefore, quality of service (QoS) aspects is crucial for selecting the grid services to take part in the composition of the new service. In this paper, we address to the problem of Grid services composition based on QoS parameters with end-to-end constraints, we suggest a new model, which transform any model of composition to a sequential model, and we propose a new approach based on the application of a Fuzzy Multiple Attribute Decision Making technique in order to guide the composition process to selected an optimal composite service.