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To deal with the environment’s heterogeneity, information providers usually offer access to their data by publishing Web services in the domain of pervasive computing. Therefore, to support applications that need to combine data from a diverse range of sources, pervasive computing requires a middleware to query multiple Web services. There exist works that have been investigating on generating optimal...
Data integration systems often suffer from performance bottlenecks due to the network overhead incurred by frequent and large-scale data retrievals. In this paper, we propose to develop query reconstruction mechanism in source wrappers to exploit data sharing across multiple data retrievals, and hence to optimize the performance of query execution. We propose a derived-based query reconstructing method...
Since query processing of data integration needs to access data from numerous wide-distributed sources over network, it is crucial to investigate how to deal with the expensive communication overhead. A staged data integration model is introduced for grid environment in this paper. It takes advantage of the abundant computer nodes to process integrated query over a number of highly-distributed and...
Data integration has evolved to provide efficient data management across distributed and heterogeneous data sources in grid environment. However, existing works in data integration consider little knowledge about the above applications. In such settings, queries from the same application are processed independently. In this paper, application properties are noticed in order to improve query performance...
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