DocumentCode :
2843664
Title :
Autonomic cluster management system (ACMS): a demonstration of autonomic principles at work
Author :
Baldassari, James D. ; Kopec, Christopher L. ; Leshay, Eric S. ; Truszkowski, Walt ; Finkel, David
Author_Institution :
Dept. of Comput. Sci., Worcester Polytech. Inst., MA, USA
fYear :
2005
fDate :
4-7 April 2005
Firstpage :
512
Lastpage :
518
Abstract :
Cluster computing, whereby a large number of simple processors or nodes are combined together to apparently function as a single powerful computer, has emerged as a research area in its own right. The approach offers a relatively inexpensive means of achieving significant computational capabilities for high-performance computing applications, while simultaneously affording the ability to increase that capability simply by adding more (inexpensive) processors. However, the task of manually managing and configuring a cluster quickly becomes impossible as the cluster grows in size. Autonomic computing is a relatively new approach to managing complex systems that can potentially solve many of the problems inherent in cluster management. We describe the development of a prototype automatic cluster management system (ACMS) that exploits autonomic properties in automating cluster management.
Keywords :
aerospace computing; mobile computing; parallel processing; workstation clusters; autonomic cluster computing; complex system management; high-performance computing applications; prototype autonomic cluster management system; Automation; Computer applications; Computer architecture; Computer networks; Computer science; Concurrent computing; High performance computing; NASA; Power system management; Space technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering of Computer-Based Systems, 2005. ECBS '05. 12th IEEE International Conference and Workshops on the
Print_ISBN :
0-7695-2308-0
Type :
conf
DOI :
10.1109/ECBS.2005.21
Filename :
1409956
Link To Document :
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