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This paper studies service integration infrastructures that support the execution of megaservices --- large-scale applications that are composed of autonomous service modules. Integration infrastructures are classified according to their control-flow and data-flow structures. We analyze the effects of data-flows on the performances of the centralized and distributed data-flow models. A mathematical model is built to compare the performances of megaservices. Particularly, aggregated cost and response time metrics are defined and evaluated. We arrive at the conclusion that the distributed data-flow model is in general superior in performance. We also identify the key system parameters as well as system bottlenecks. The analysis provides recommendations for a few techniques to build high-performance and scalable service integration infrastructures based on the distribution of data-flows.