Fifth IEEE/ACM International Workshop on Grid Computing
DOI: 10.1109/grid.2004.55
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Resource Scheduling for Parallel Query Processing on Computational Grids

Abstract: Advances in network technologies and the emergence of Grid computing have both increased the need and provided the infrastructure for computation and data intensive applications to run over collections of heterogeneous and autonomous nodes. In the context of database query processing, existing parallelisation techniques cannot operate well in Grid environments because the way they select machines and allocate tasks compromises partitioned parallelism. The main contribution of this paper is the proposal of a lo… Show more

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Cited by 21 publications
(17 citation statements)
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“…The main idea behind the CA is very similar to the algorithm proposed by Gounaris et al [10,12]. The algorithm ranks the nodes in the grid according to their properties.…”
Section: Quantitative Evaluationmentioning
confidence: 87%
See 4 more Smart Citations
“…The main idea behind the CA is very similar to the algorithm proposed by Gounaris et al [10,12]. The algorithm ranks the nodes in the grid according to their properties.…”
Section: Quantitative Evaluationmentioning
confidence: 87%
“…In this section we present quantitative evaluation of the Join Operator Resource Allocation (JORA) algorithm by comparing with a comparative algorithm (CA) which reflects the common properties of the recent resource allocation algorithms such as [10,12]. The main idea behind the CA is very similar to the algorithm proposed by Gounaris et al [10,12].…”
Section: Quantitative Evaluationmentioning
confidence: 99%
See 3 more Smart Citations