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On the relationship between software aging and related parameters

  • Yun Fei Jia*
  • , Xiu E. Chen
  • , Lei Zhao
  • , Kai Yuan Cai
  • *Corresponding author for this work
  • Beihang University

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

Abstract

Software aging refers to the phenomenon that long-running software shows signs of increasing failing rate, overmuch resource usage, and performance degradation. Software rejuvenation is a proactive approach to dealing with this problem. However, commonly used rejuvenation methods involve a relatively larger overhead. An alternative is to reduce the severity of software aging by online adjusting the settings of related parameters of the system. In this paper, we conduct controlled experiments to analyze severity of software aging under different settings of related parameters. Based on the experimental data, a metric is defined to measure the severity of software aging. A multiple-input and multiple-output (MIMO) model is then constructed to formulate the relationship between severity of software aging and related parameter settings. The proposed MIMO model gives us a way to control the severity of software aging at runtime.

Original languageEnglish
Title of host publicationProceedings - 8th International Conference on Quality Software, QSIC 2008
Pages241-246
Number of pages6
DOIs
StatePublished - 2008
Event8th International Conference on Quality Software, QSIC 2008 - Oxford, United Kingdom
Duration: 12 Aug 200813 Aug 2008

Publication series

NameProceedings - International Conference on Quality Software
ISSN (Print)1550-6002

Conference

Conference8th International Conference on Quality Software, QSIC 2008
Country/TerritoryUnited Kingdom
CityOxford
Period12/08/0813/08/08

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