Behavioral Analysis of a Fault-Tolerant Software System with Rejuvenation

• RINSAKA Koichiro

  Department of Information Engineering, Graduate School of Engineering, Hiroshima University

• DOHI Tadashi

  Department of Information Engineering, Graduate School of Engineering, Hiroshima University

Abstract

In recent years, considerable attention has been devoted to continuously running software systems whose performance characteristics are smoothly degrading in time. Software aging often affects the performance of a software system and eventually causes it to fail. A novel approach to handle transient software failures due to software aging is called software rejuvenation, which can be regarded as a preventive and proactive solution that is particularly useful for counteracting the aging phenomenon. In this paper, we focus on a high assurance software system with fault-tolerance and preventive rejuvenation, and analyze the stochastic behavior of such a highly critical software system. More precisely, we consider a fault-tolerant software system with two-version redundant structure and random rejuvenation schedule, and evaluate quantitatively some dependability measures like the steady-state system availability and MTTF based on the familiar Markovian analysis. In numerical examples, we examine the dependence of two fault tolerant techniques; design and environment diversity techniques, on the system dependability measures.

Journal

• IEICE Transactions on Information and Systems, D

  IEICE Transactions on Information and Systems, D 88 (12), 2681-2688, 2005-12-01

  The Institute of Electronics, Information and Communication Engineers

Keywords

• software fault tolerance
• rejuvenation
• software aging
• bivariate failure mode
• continuous-time Markov chain

Details

• CRID: 1571698601952552448
• NII Article ID: 110004019490
• NII Book ID: AA10826272
• ISSN: 09168532
• Text Lang: en
• Data Source:
  • CiNii Articles