Towards an Autonomic Cluster Management System (ACMS) with reflex autonomicity

Walt Truszkowski, Mike Hinchey, Roy Sterritt

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 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.

Original languageEnglish
Title of host publicationProceedings - 11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005
EditorsJ. Ma, L.T. Yang
Pages478-482
Number of pages5
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005 - Fukuoka, Japan
Duration: 20 Jul 200522 Jul 2005

Publication series

NameProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Volume2
ISSN (Print)1521-9097

Conference

Conference11th International Conference on Parallel and Distributed Systems Workshops, ICPADS 2005
Country/TerritoryJapan
CityFukuoka
Period20/07/0522/07/05

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