Multi-granularity software rejuvenation policy based on continuous time markov chain

  • Gaorong Ning*
  • , Kishor S. Trivedi
  • , Hai Hu
  • , Kai Yuan Cai
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a multi-granularity software rejuvenation policy isstudied. Four granularities of rejuvenation are proposed tomitigate the impact of four levels of software aging respectively.Continuous Time Markov Chain (CTMC) model is used to obtain theavailability and cost from its closed form solution. Moreover, therelations between availability, cost and parameters are studied and the optimal selection of parameters is obtained accordingly. Numerical examples show that the optimal inspection rates for maximizing availability and minimizing cost become larger if inspection delay rate becomes lower, and also the optimal inspection rates have the property of phase transitions when inspection delay rate changes.

Original languageEnglish
Title of host publicationProceedings - 2011 3rd International Workshop on Software Aging and Rejuvenation, WoSAR 2011
Pages32-37
Number of pages6
DOIs
StatePublished - 2011
Event3rd International Workshop on Software Aging and Rejuvenation, WoSAR 2011 - Hiroshima, Japan
Duration: 29 Nov 20111 Dec 2011

Publication series

NameProceedings - 2011 3rd International Workshop on Software Aging and Rejuvenation, WoSAR 2011

Conference

Conference3rd International Workshop on Software Aging and Rejuvenation, WoSAR 2011
Country/TerritoryJapan
CityHiroshima
Period29/11/111/12/11

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