Title :
Reliability Improvement and Models in Autonomic Computing
Author :
Marshall, T. ; Dai, Y.S.
Author_Institution :
Dept. of Comput. & Inf. Sci., Indiana Univ., Indianapolis, IN
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 support highly reliable systems, as briefly proposed in the conclusion
Keywords :
configuration management; fault tolerant computing; software metrics; software reliability; system monitoring; autonomic computing environment; autonomic management technique; autonomic system; computing system complexity; reliable system; Biology computing; Costs; Degradation; Environmental management; Humans; Information science; Power system economics; Power system reliability; System performance; Technology management;
Conference_Titel :
Parallel and Distributed Systems, 2005. Proceedings. 11th International Conference on
Conference_Location :
Fukuoka
Print_ISBN :
0-7695-2281-5
DOI :
10.1109/ICPADS.2005.252