Database support for data-driven scientific applications in the grid

Sivaramakrishnan Narayanan; Tahsin Kurc; Umit Catalyurek; Joel Saltz

doi:10.1142/S0129626403001264

Database support for data-driven scientific applications in the grid

Sivaramakrishnan Narayanan
, Tahsin Kurc
, Umit Catalyurek
, Joel Saltz

Biomedical Informatics

Ohio State University

Research output: Contribution to journal › Article › peer-review

36 Scopus citations

Abstract

In this paper we describe a services oriented software system to provide basic database support for efficient execution of applications that make use of scientific datasets in the Grid. This system supports two core operations: efficient selection of the data of interest from distributed databases and efficient transfer of data from storage nodes to compute nodes for processing. We present its overall architecture and main components and describe preliminary experimental results.

Original language	English
Pages (from-to)	245-271
Number of pages	27
Journal	Parallel Processing Letters
Volume	13
Issue number	2
DOIs	https://doi.org/10.1142/S0129626403001264
State	Published - Jun 2003

Keywords

Data-intensive applications
Distributed datasets
Distributed query execution
Grid computing

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10.1142/S0129626403001264

Cite this

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abstract = "In this paper we describe a services oriented software system to provide basic database support for efficient execution of applications that make use of scientific datasets in the Grid. This system supports two core operations: efficient selection of the data of interest from distributed databases and efficient transfer of data from storage nodes to compute nodes for processing. We present its overall architecture and main components and describe preliminary experimental results.",

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AU - Catalyurek, Umit

AU - Saltz, Joel

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AB - In this paper we describe a services oriented software system to provide basic database support for efficient execution of applications that make use of scientific datasets in the Grid. This system supports two core operations: efficient selection of the data of interest from distributed databases and efficient transfer of data from storage nodes to compute nodes for processing. We present its overall architecture and main components and describe preliminary experimental results.

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KW - Distributed datasets

KW - Distributed query execution

KW - Grid computing

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JO - Parallel Processing Letters

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Database support for data-driven scientific applications in the grid

Abstract

Keywords

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