DocumentCode
1816550
Title
Measuring the Effectiveness of Self-Healing Autonomic Systems
Author
Brown, Aaron B. ; Redlin, Charlie
Author_Institution
IBM TJ. Watson Res. Center, Hawthorne, NY
fYear
2005
fDate
13-16 June 2005
Firstpage
328
Lastpage
329
Abstract
Benchmarks are a central force in engineering progress, providing the objective ability to quantify improvement and justify design decisions. In previous work, we brought together the concepts of benchmarks and autonomic computing, describing a vision of benchmarks that quantitatively evaluate a computing system along the four core autonomic dimensions of self-healing, self-configuration, self-optimization, and self-protection. In this paper, we describe our experience with implementing a practical benchmark for the self-healing dimension of autonomic capability, which goes beyond simple measures of fault tolerance by including a measure of autonomic maturity. Our benchmark is capable of quantifying the autonomic self-healing capability of complex, production-scale enterprise solutions based on J2EE middleware (and indeed is currently being used for such purposes)
Keywords
Java; benchmark testing; middleware; security of data; software fault tolerance; J2EE middleware; autonomic maturity; benchmarking; computing system; self-healing autonomic systems; system fault tolerance; system self-configuration; system self-healing; system self-optimization; system self-protection; Benchmark testing; Computer vision; Databases; Design engineering; Laboratories; Middleware; Space technology; Steady-state; System testing; Trademarks;
fLanguage
English
Publisher
ieee
Conference_Titel
Autonomic Computing, 2005. ICAC 2005. Proceedings. Second International Conference on
Conference_Location
Seattle, WA
Print_ISBN
0-7965-2276-9
Type
conf
DOI
10.1109/ICAC.2005.39
Filename
1498082
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