Autonomic Management of Large Clusters and Their Integration into the Grid
We present a framework for the co-ordinated, autonomic management of multiple clusters in a compute center and their integration into a Grid environment. Site autonomy and the automation of administrative tasks are prime aspects in this framework. The system behavior is continuously monitored in a s...
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Published in: | Journal of grid computing Vol. 2; no. 3; pp. 247 - 260 |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Dordrecht
Springer Nature B.V
01-09-2004
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Subjects: | |
Online Access: | Get full text |
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Summary: | We present a framework for the co-ordinated, autonomic management of multiple clusters in a compute center and their integration into a Grid environment. Site autonomy and the automation of administrative tasks are prime aspects in this framework. The system behavior is continuously monitored in a steering cycle and appropriate actions are taken to resolve any problems.All presented components have been implemented in the course of the EU project DataGrid: The Lemon monitoring components, the FT fault-tolerance mechanism, the quattor system for software installation and configuration, the RMS job and resource management system, and the Gridification scheme that integrates clusters into the Grid. |
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ISSN: | 1570-7873 1572-9184 |
DOI: | 10.1007/s10723-004-7647-3 |