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QoS-aware service composition aims to maximize overall QoS values of the resulting composite service. Traditional methods only consider service instances that implement one abstract service in the composite service as candidates, and neglect those that fulfill multiple abstract services. To overcome this shortcoming, we present the concept of generalized component services to expand the selection scope to achieve a better solution. The problem of QoS-aware multi-granularity service composition is then formulated and how to discover candidates for each generalized component service is elaborated. A genetic algorithm based approach is proposed to optimize the resulting composite service instance. Empirical studies are performed at last.

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