The Community for Technology Leaders
Engineering of Computer-Based Systems, IEEE International Conference on the (2005)
Greenbelt, Maryland
Apr. 4, 2005 to Apr. 7, 2005
ISBN: 0-7695-2308-0
pp: 512-518
James D. Baldassari , Worcester Polytechnic Institute
Christopher L. Kopec , Worcester Polytechnic Institute
Eric S. Leshay , Worcester Polytechnic Institute
Walt Truszkowski , NASA Goddard Space Flight Center
David Finkel , Worcester Polytechnic Institute
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.

E. S. Leshay, C. L. Kopec, J. D. Baldassari, W. Truszkowski and D. Finkel, "Autonomic Cluster Management System (ACMS): A Demonstration of Autonomic Principles at Work," Engineering of Computer-Based Systems, IEEE International Conference on the(ECBS), Greenbelt, Maryland, 2005, pp. 512-518.
92 ms
(Ver 3.3 (11022016))