Analysis of a two-level software rejuvenation policy

Reliability Engineering and System Safety

Volumn 87, Issue 1, 2005, Pages 13-22

  Xie, Wei ^a,c   Hong, Yiguang ^b   Trivedi, Kishor ^a  

^a Duke University   (United States)

^b INSTITUTE OF SYSTEMS SCIENCE   (China)

^c NONE   (United States)

Author keywords

Semi Markov process; Software aging; Software rejuvenation; System availability

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTER HARDWARE; COMPUTER OPERATING SYSTEMS; INTERNET; MARKOV PROCESSES; PROBLEM SOLVING; QUALITY OF SERVICE; RELIABILITY; SERVERS;

POLICY DESIGN; SOFTWARE REJUVENATION; SYSTEM AVAILABILITY; THEORETICAL ANALYSIS;

COMPUTER SOFTWARE;

EID: 4544328888     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ress.2004.02.011     Document Type: Article

References (20)

1. Wilson T. The cost of downtime. Internet Week ( http://www.internetwk. com/lead/lead073099.htm ).
2. Avritzer A., Weyuker E. Monitoring smoothly degrading systems for increased dependability. Empirical Software Engng. (2):1997;55-77.
3. Gray J., Siewiorek D.P. High-availability computer systems. IEEE Comput. (24):1991;39-48.
4. Sullivan M., Chillarege R. Software defects and their impact on system availability - a study of field failures in operating systems. In: Proceedings of the 21st IEEE International Symposium on Fault-Tolerant Computing. 1991;. p. 2-9.
5. Huang Y., Kintala C., Kolettis N., Fulton N. Software rejuvenation: analysis, module, and applications. In: Proceedings of 25th International Symposium on Fault-Tolerance Computing. 1995.
6. Marshall E. Fatal error: how patriot overlooked a scud. Science 3. Vol. 3, 1992.
7. Garg S., Moorsel A., Vaidyanathan K., Trivedi K.S. A methodology for detection and estimation of software aging. In: International Symposium on Software Reliability Engineering, Paderborn, Germany. 1998.
8. Dohi T., Goseva-Popstojanova K., Trivedi K.S. Estimating software rejuvenation schedules in high-assurance systems. Comput J. 44:2001;473-482.
9. Bobbio A., Sereno M., Anglano C. Fine grained software degradation models for optimal rejuvenation policies. Perform Eval. 46:(1):2001;45-62.
10. Apache Software Foundation. Apache http server project, http://www.apache.org .
11. Castelli V., Harper R.E., Heidelberger P., Hunter S.W., Trivedi K.S., Vaidyanathan K., Zeggert W.P. Proactive management of software aging. IBM J Res Dev. 45:(2):2001;311-332.
12. Huang Y., Chung P.E., Kintala C., Wang C.-Y., Liang D.-R. NT-SwiFT: software implemented fault tolerance on windows NT. In: Proceedings of the Second USENIX NT Symposium, Seattle, WA. 1998.
13. Candea G., Fox A. Crash-only software. In: Proceedings of the Ninth Workshop on Hot Topics in Operating Systems (HotOS-IX), Lihue, HI. 2003.
14. Hong Y., Chen D., Li L., Trivedi K.S. Closed loop design for software rejuvenation. In: Workshop on Self-Healing, Adaptive and Self-Managed Systems, New York, NY. 2002.
15. Vaidyanathan K., Selvamuthu D., Trivedi K.S. Analysis of inspection-based preventive maintenance in operational software systems. In: International Symposium on Reliable Distributed Systems (SRDS 2002), Osaka, Japan. 2002.
16. Gurler U., Kaya A. A maintenance policy for a system with multi-state components: an approximate solution. Reliab Engng Syst Saf. 76:(2):2002;117-127.
17. Ciardo G., Muppala J., Trivedi K.S. On the solution of GSPN reward models. Perform Eval. 12:(4):1991;237-254.
18. Kulkarni V.G. Modeling and analysis of stochastic systems. 1995;Chapman&Hall, London.
19. Trivedi K.S. Probability and statistics with reliability, queueing, and computer science applications. 2nd ed. 2001;Wiley, New York.
20. Barlow R.E., Proschan F. Statistical theory of reliability and life testing: probability models. 1975;Holt, Rinehart and Winston, New York.