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Towards an Autonomic Cluster Management System (ACMS) with Reflex AutonomicityCluster 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 providing a fault-tolerant environment and achieving significant computational capabilities for high-performance computing applications. However, the task of manually managing and configuring a cluster quickly becomes daunting as the cluster grows in size. Autonomic computing, with its vision to provide self-management, can potentially solve many of the problems inherent in cluster management. We describe the development of a prototype Autonomic Cluster Management System (ACMS) that exploits autonomic properties in automating cluster management and its evolution to include reflex reactions via pulse monitoring.
Document ID
Document Type
Preprint (Draft being sent to journal)
Truszkowski, Walt
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Hinchey, Mike
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Sterritt, Roy
(New Univ. of Ulster Jordanstown, United Kingdom)
Date Acquired
September 7, 2013
Publication Date
January 1, 2005
Subject Category
Computer Systems
Meeting Information
IEEE Workshop on Reliable Automatic Management of Parallel and Distributed Systems
Distribution Limits
Public Use Permitted.

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