Cluster operating system support for parallel autonomic computing

Goscinski, A., Silcock, J. and Hobbs, M. 2004, Cluster operating system support for parallel autonomic computing, in 2004 International Conference on Supercomputing : June 26-July 1, 2004, Saint-Malo, France, conference proceedings, Association for Computing Machinery, New York, N.Y., pp. 1-10.

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Title Cluster operating system support for parallel autonomic computing
Author(s) Goscinski, A.
Silcock, J.
Hobbs, M.
Conference name International Conference on Supercomputing (18th : 2004 : St. Malo, France)
Conference location Saint-Malo, France
Conference dates 26 Jun.-1 Jul. 2004
Title of proceedings 2004 International Conference on Supercomputing : June 26-July 1, 2004, Saint-Malo, France, conference proceedings
Editor(s) Morin, Christine
Publication date 2004
Conference series International Conference on Supercomputing
Start page 1
End page 10
Total pages 10
Publisher Association for Computing Machinery
Place of publication New York, N.Y.
Keyword(s) Cluster operating systems
Parallel processing
Autonomic computing
Summary The aim of this paper is to show a general design of autonomic elements and initial implementation of a cluster operating system that moves parallel processing on clusters to the computing mainstream using the autonomic computing vision. The significance of this solution is as follows. Autonomic Computing was identified by IBM as one of computing's Grand Challenges. The human body was used to illustrate an Autonomic Computing system that possesses self-knowledge, self-configuration, self optimization, self-healing, and self-protection, knowledge of its environment and user friendliness properties. One of the areas that could benefit from the comprehensive approach created by the autonomic computing vision is parallel processing on non-dedicated clusters. Many researchers and research groups have responded positively to the challenge by initiating research around one or two of the characteristics identified by IBM as the requirements for autonomic computing. We demonstrate here that it is possible to satisfy all Autonomic Computing characteristics.
ISBN 1581138393
9781581138399
Language eng
Field of Research 080699 Information Systems not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005536

Document type: Conference Paper
Collection: School of Information Technology
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