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Utilizing widely distributed computational resources efficiently with execution domains

delete2001-10-01
delete10
PRE
AI
J
Jim Basney *
M
Miron Livny
P
Paolo Mazzanti
DOI：10.1016/S0010-4655(01)00276-4delete
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Abstract

Abstract

En 中文
Wide-area computational grids have the potential to provide large amounts of computing capacity to the scientific community. Realizing this potential requires intelligent data management, enabling applications to harness remote computing resources with minimal remote data access overhead. We define execution domains, a framework which defines an affinity between CPU and data resources in the grid, so applications are scheduled to run on CPUs which have the needed access to datasets and storage devices. The framework also includes domain managers, agents which dynamically adjust the execution domain configuration to support the efficient execution of grid applications. In this paper, we present the execution domain framework and show how we apply it in the Condor resource management system. (C) 2001 Elsevier Science B.V. All rights reserved.
Keywords:
cluster computing
computational grids
network scheduling
remote I/O
checkpointing
high throughput computing
condor
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

Computer Physics Communications cover
Computer Physics Communications
IF:
3.4
Papers:
1.2W
Citations:
3.7W

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No organization information available