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Optimization strategy of service composition is the kernel content of ensuring and improving service l eve in Service-Oriented Architecture. However, it is di fficult to realize the optimization of services in a open environment, in which there are a lot of randomicit y disturbances and uncertain factors. The key is to accurately and efficiently select and composite the services. In this paper, we proposed the comprehen sive evaluation metrics using ANP, an algorithm of gener ating all alternative atomic services and an algori thm of generating the ANP alternatives set. The metrics is for measuring the service composition quality, and combines the key performance indicators of service in cloud. The algorithm of generating all alternati ve atomic services is brought forward to identify the fundamental services satisfying users’ requests. Th e second algorithm, which composites atomic services, generates feasible cloud service compositions, namely the ANP alternatives set. Consequently, ANP optimization method has been developed to find the optimal one from the feasible service compositions.

Optimization Strategy of Cloud Computing Service Composition Research Based on ANP