Analysis of Optimal Restart Policies for Software Systems

• OKAMURA Hiroyuki

  Hiroshima University

• DOHI Tadashi

  Hiroshima University

Abstract

The restart is one of the typical environmental diversity techniques in dependable computing, and is quite effective to rejuvenate software systems at low cost. In this paper we generalize the seminal results on restart mechanisms by van Moorsel and Wolter (2004, 2006) and analyze optimal restart policies under more general conditions. We further develop a statistical algorithm to estimate the optimal restart policies from the empirical data of task processing time.

Journal

• Journal of Japan Industrial Management Association

  Journal of Japan Industrial Management Association 66 (4E), 416-425, 2016

  Japan Industrial Management Association

Keywords

• restart policy
• fault tolerance
• software systems
• statistical estimation
• total time on test

Details

• CRID: 1390282680482958464
• NII Article ID: 130005133236
• DOI: 10.11221/jima.66.416
• ISSN: 21879079
• ISSN: 13422618
• Text Lang: en
• Data Source:
  • JaLC
  • CiNii Articles
  • Crossref
• Abstract License Flag: Disallowed