SUMMARYGrid services provide an important abstract layer on top of heterogeneous components (hardware and software) that take part in a Grid environment. In this scenario, applications such as scientific visualization require access to data of non-conventional data types, such as fluid path geometry, and the evaluation of special user programs and algebraic operators, such as spatial hash-join, on these data. In order to support such applications we are developing a Configurable Data Integration Middleware System for the Grid (CoDIMS-G). CoDIMS-G provides a query execution environment adapted to the heterogeneity and variations found in a Grid environment by offering a node scheduling algorithm and an adaptive query execution strategy. The latter both adapts to performance variations in a scheduled node and deals efficiently with repetitive evaluation of a query execution plan fragment, as needed for computing a particle's, trajectory.
Grid services provide an important abstract layer on top of heterogeneous components (hardware and software) that take part into a Grid environment. In this scenario, applications, like scientific visualization, require access to data of nonconventional data types, like fluid path geometry, and the evaluation of special user programs on these data. In order to support such applications we are developing CoDIMS-G, which is a data and program integration service for the Grid. CoDIMS-G provides users transparent access to data and programs distributed on the Grid, as well as dynamic resource allocation and management. We conceived a new node scheduling algorithm and designed an adaptive distributed query engine for the grid environment.
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