DocumentCode :
3736993
Title :
An optimal stopping problem for software rejuvenation in a job processing system
Author :
Fumio Machida;Naoto Miyoshi
Author_Institution :
Dept. of Math. &
fYear :
2015
Firstpage :
139
Lastpage :
143
Abstract :
In this paper, we derive the optimal policy for deciding software rejuvenation trigger in a job processing system when observing a performance degradation of the system. At the detection of service degradation, we assume that the system enters a digesting phase where newly arrival jobs are rejected and queued jobs are processed with decreased service rate. The service can be modeled as a pure death process, and both of the delayed jobs due to decreased service rate, the dropped jobs caused by rejuvenation, and the rejected arrival jobs are counted as the cost components. We formulate the decision problem of software rejuvenation, which trade-offs the costs associated with the decisions, as an optimal stopping problem. Our analysis on the optimality equation clarifies the conditions to switch the optimal policy for triggering software rejuvenation to minimize the expected cost.
Keywords :
"Software","Degradation","Aging","State-space methods","Markov processes","Delays","Cost function"
Publisher :
ieee
Conference_Titel :
Software Reliability Engineering Workshops (ISSREW), 2015 IEEE International Symposium on
Type :
conf
DOI :
10.1109/ISSREW.2015.7392059
Filename :
7392059
Link To Document :
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