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The realization of high-performance cluster management system based on autonomic computing

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2 Author(s)
Wang Jie ; Sch. of Manage., Capital Normal Univ., Beijing, China ; Zeng Yu

Cluster is now the main architecture of high-performance computers. We discuss distributed and hierarchical autonomic management mechanisms based on partition and election. Three autonomic management strategies are proposed, including a new definition of autonomic element, a new formula to calculate the number of nodes managed in a logical partition and a new trigger-bully election algorithm. Based on the three strategies, we design and realize a high-performance cluster management system ACView in this paper, and this ACView system is now successfully applied in a real high performance cluster.

Published in:

Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on

Date of Conference:

29-31 May 2012