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In the recent years, more and more real applications are embracing the middleware as a vehicle for conveying their data; the issue of efficient and effective interoperation between databases with different storage formats and local geographical locations has been becoming extremely important research topic. A large amount of systems have been developed. In fact, real-world applications of middleware system often require a system to deal with huge amount of data. However, study of scalability for those systems is generally lacking. The main reason is that exploring scalability could be very time consuming and expensive task. In this paper, we present a new approach specifically designed for estimating performance parameters of different middleware systems under different size of data. The comprehensive experimental result based on scientific data and queries demonstrates various kinds of advantages of framework.