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Proceedings of the 2000 ACM/IEEE conference on Supercomputing
The MicroGrid: a Scientific Tool for Modeling Computational Grids
Dallas, Texas
November 04-November 10
ISBN: 0-7803-9802-5
H. J. Song, University of California, San Diego
X. Liu, University of California, San Diego
D. Jakobsen, University of California, San Diego
R. Bhagwan, University of California, San Diego
X. Zhang, University of California, San Diego
K. Taura, University of California, San Diego
A. Chien, University of California, San Diego
The complexity and dynamic nature of the Internet (and the emerging Computational Grid) demand that middleware and applications adapt to the changes in configuration and availability of resources. However, to the best of our knowledge there are no simulation tools which support systematic exploration of dynamic Grid software (or Grid resource) behavior.
We describe our vision and initial efforts to build tools to meet these needs. Our MicroGrid simulation tools enable Globus applications to be run in arbitrary virtual grid resource environments, enabling broad experimentation. We describe the design of these tools, and their validation on micro- benchmarks, the NA parallel benchmarks, and an entire Grid application. These validation experiments show that the MicroGrid can match actual experiments within a few percent (2% to 4%).
Citation:
H. J. Song, X. Liu, D. Jakobsen, R. Bhagwan, X. Zhang, K. Taura, A. Chien, "The MicroGrid: a Scientific Tool for Modeling Computational Grids," sc, pp.53, Proceedings of the 2000 ACM/IEEE conference on Supercomputing, 2000
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