Reliability Improvement and Models in Autonomic Computing

Authors:
T. Marshall;Y. S. Dai
Affiliations:
Department of Computer and Information Science, Purdue University School of Science,Indiana University, Purdue University, Indianapolis, IN, USA.;Department of Computer and Information Science, Purdue University School of Science,Indiana University, Purdue University, Indianapolis, IN, USA.
Venue:
ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Workshops - Volume 02
Year:
2005

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Abstract

The rapidly increasing complexity of computing systems is driving the movement towards autonomic systems that are capable of managing themselves without the need for human intervention. Without autonomic technologies, many conventional systems suffer reliability degradation due to the accumulation of errors. The autonomic management techniques break the traditional reliability degradation trend. This paper comprehensively describes the roles and functions of various autonomic components, and systematically reviews past and current technologies that have been/are being developed to address the specific areas of the autonomic computing environment. The effort to identify those ideas can lead to the design of more advanced autonomic computing that will support highly reliable systems, as briefly proposed in the conclusion.