DocumentCode
3031040
Title
Autonomic computing and reliability improvement
Author
Dai, Yuan-Shun
Author_Institution
Dept. of Comput. & Inf. Sci., Indiana Univ., Indianapolis, IN, USA
fYear
2005
fDate
18-20 May 2005
Firstpage
204
Lastpage
206
Abstract
The rapidly increasing complexity of 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 developed to address the specific areas of the autonomic computing environment. A new mechanism of model-driven autonomic management is further presented, which is more intelligent and efficient.
Keywords
distributed processing; object-oriented programming; self-adjusting systems; software reliability; autonomic computing; human intervention; model-driven autonomic management; Autonomic nervous system; Biological system modeling; Biology computing; Degradation; Humans; Information science; Monitoring; Predictive models; Reliability theory; Systems biology;
fLanguage
English
Publisher
ieee
Conference_Titel
Object-Oriented Real-Time Distributed Computing, 2005. ISORC 2005. Eighth IEEE International Symposium on
Print_ISBN
0-7695-2356-0
Type
conf
DOI
10.1109/ISORC.2005.17
Filename
1420971
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