Title :
The realization of high-performance cluster management system based on autonomic computing
Author :
Jie, Wang ; Yu, Zeng
Author_Institution :
Sch. of Manage., Capital Normal Univ., Beijing, China
Abstract :
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.
Keywords :
distributed processing; fault tolerant computing; ACView system; autonomic computing; autonomic element; hierarchical autonomic management mechanisms; high-performance cluster management system; trigger-bully election algorithm; Algorithm design and analysis; Clustering algorithms; Computational modeling; Computers; Monitoring; Nominations and elections; Partitioning algorithms; autonomic computing; election algorithm; high-performance cluster management; logical patrition;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
DOI :
10.1109/FSKD.2012.6234057
