Applying meta search systems is a suitable method to support the user if there are many different retrieval services available in the Web. Due to information splitting strategies of literature services existing meta search systems either provide minimal integration of results or slow response times. In this paper, we present an approach that combines techniques of personalization and query processing in order to satisfy the user´s demand for both fast and comprehensive results. In order to evaluate and compare different query processing strategies and additional influencing parameters we developed a simulation tool called SIMPSON. Thereby, we can observe the performance of query processing within the context of different response times of the underlying digital library services in the Web, with different kinds of user queries, and with different sizes of query results. To evaluate and compare the performance of different query processing and duplicate detection strategies we develope...