An adaptive parallel query processing middleware for the Grid
| Autor: | Bruno Schulze, A. C. Barbosa, M. L. Dutra, V. F. V. da Silva, J. C. de Oliveira, Fabio Porto |
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| Rok vydání: | 2006 |
| Předmět: |
Data grid
Computer Networks and Communications Computer science Node (networking) Distributed computing Grid file computer.software_genre Query optimization Grid Computer Science Applications Theoretical Computer Science Data access Semantic grid Computational Theory and Mathematics Grid computing Middleware computer Software Data integration |
| Zdroj: | Concurrency and Computation: Practice and Experience. 18:621-634 |
| ISSN: | 1532-0634 1532-0626 |
| DOI: | 10.1002/cpe.970 |
| Popis: | Grid 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. Copyright © 2005 John Wiley & Sons, Ltd. |
| Databáze: | OpenAIRE |
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