DocumentCode :
1161178
Title :
A workload-based analysis of software aging, and rejuvenation
Author :
Bao, Yujuan ; Sun, Xiaobai ; Trivedi, Kishor S.
Author_Institution :
Dept. of Comput. Sci., Duke Univ., Durham, NC, USA
Volume :
54
Issue :
3
fYear :
2005
Firstpage :
541
Lastpage :
548
Abstract :
We present a hierarchical model for the analysis of proactive fault management in the presence of system resource leaks. At the low level of the model hierarchy is a degradation model in which we use a nonhomogeneous Markov chain to establish an explicit connection between resource leaks, and the failure rate. With the degradation model, we prove that the failure rate is asymptotically constant in the absence of resource leaks, and it is increasing as leaks occur & accumulate, which confirms the resource leaks as an aging source. The proactive fault management (PFM) is modeled at the higher level as a semi-Markov process. The PFM model takes as input the degradation analysis from the low-level model, and allows us to determine optimal rejuvenation schedules with respect to various system measures.
Keywords :
Markov processes; failure analysis; reliability theory; resource allocation; safety-critical software; software fault tolerance; system recovery; Markov chain; degradation analysis; failure analysis; optimal rejuvenation schedule; proactive fault management; resource management; software aging; Aging; Availability; Costs; Degradation; Exponential distribution; Fault tolerance; Memory management; Resource management; Software systems; Sun; Degradation model; hierarchical proactive fault management model; resource management; software rejuvenation;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/TR.2005.853442
Filename :
1505059
Link To Document :
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