Presentation 2006-07-14
Optimal Software Rejuvenation Scheduling Based on Non-parametric Predictive Inference A Expected Cost Model
Koichiro RINSAKA, Tadashi DOHI,
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Abstract(in English) This paper proposes an estimation algorithm based on a non-parametric predictive inference to obtain an optimal software rejuvenation schedule. More precisely, based on n observed failure times, we define upper and lower bounds of survival function for n+1st failure time, then upper and lower bounds of operational expected cost are formulated. Optimal software rejuvenation schedules for n+1st failure time are provided by minimizing the upper and lower bounds of operational expected cost function. In the simulation experiments, we verify the effectiveness of the proposed method in comparison with the theoretical optimal solution.
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Keyword(in English) non-parametric predictive inference / software rejuvenation / operational expected cost / semi-Markov process
Paper # R2006-23
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Conference Date 2006/7/7(1days)
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Language JPN
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Title (in English) Optimal Software Rejuvenation Scheduling Based on Non-parametric Predictive Inference A Expected Cost Model
Sub Title (in English)
Keyword(1) non-parametric predictive inference
Keyword(2) software rejuvenation
Keyword(3) operational expected cost
Keyword(4) semi-Markov process
1st Author's Name Koichiro RINSAKA
1st Author's Affiliation Department of Information Engineering, Graduate School of Engineering, Hiroshima University()
2nd Author's Name Tadashi DOHI
2nd Author's Affiliation Department of Information Engineering, Graduate School of Engineering, Hiroshima University
Date 2006-07-14
Paper # R2006-23
Volume (vol) vol.106
Number (no) 159
Page pp.pp.-
#Pages 6
Date of Issue