Abstract:Data integration systems provide a unified view of various sources of data distributed over the wide-area networks. User requests issued at a central site must be decomposed into a number of sub-requests, that are later on processed at the remote sites. The results are integrated at a central site and returned to a user.A decomposition strategy of global user requests and scheduling of sub-requests at a central site has a significant impact on performance of data integration process. This paper proposes an eff… Show more
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