Comparing Software Rejuvenation Policies under Different Dependability Measures

• DOHI Tadashi

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

• SUZUKI Hiroaki

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

• TRIVEDI Kishor S.

  Department of Electrical and Computer Engineering, Duke University

Abstract

Software rejuvenation is a preventive and proactive solution that is particularly useful for counteracting the phenomenon of software aging. In this paper, we consider both the periodic and non-periodic software rejuvenation policies under different dependability measures. As is well known, the steady-state system availability is the probability that the software system is operating in the steady state and, at the same time, is often regarded as the mean up rate in the system operation period. We show that the mean up rate should be defined as the mean value of up rate, but not as the mean up time per mean operation time. We derive numerically the optimal software rejuvenation policies which maximize the steady-state system availability and the mean up rate, respectively, for each periodic or non-periodic model. Numerical examples show that the real mean up rate is always smaller than the system availability in the steady state and that the availability overestimates the ratio of operative time of the software system.

Journal

• IEICE Transactions on Information and Systems, D

  IEICE Transactions on Information and Systems, D 87 (8), 2078-2085, 2004-08-01

  The Institute of Electronics, Information and Communication Engineers

Keywords

• software rejuvenation
• software aging
• system availability
• mean up rate
• preventive maintenance
• numerical optimization
• fault management
• design diversity

Details

• CRID: 1571135652464240256
• NII Article ID: 110003214099
• NII Book ID: AA10826272
• ISSN: 09168532
• Text Lang: en
• Data Source:
  • CiNii Articles