Performance assurance via software rejuvenation: Monitoring, statistics and algorithms

Proceedings of the International Conference on Dependable Systems and Networks

Volumn 2006, Issue , 2006, Pages 435-444

  Avritzer, Alberto ^a   Bondi, Andre ^a   Grottke, Michael ^b   Trivedi, Kishor S ^b   Weyuker, Elaine J ^c  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b Duke University   (United States)

^c AT AND T LABS RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PERFORMANCE DEGRADATION; SOFTWARE REJUVENATION;

COMPUTER SIMULATION; COMPUTER SOFTWARE; CONDITION MONITORING; RESPONSE TIME (COMPUTER SYSTEMS); STATISTICS;

ALGORITHMS;

EID: 33845591573     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DSN.2006.58     Document Type: Conference Paper

References (15)

1. A. Avritzer, A. Bondi, and E. J. Weyuker, "Ensuring stable performance for systems that degrade," in Proc. Fifth International Workshop on Software and Performance, 2005, pp. 43-51.
2. _, "Ensuring system performance for cluster and single server systems," Journal of Systems and Software, 2006. (To appear).
3. A. Avritzer and E. J. Weyuker, "Monitoring smoothly degrading systems for increased dependability," Empirical Software Engineering, vol. 2, no. 1, pp. 59-77, 1997.
4. _, "The role of modeling in the performance testing of e-commerce application," IEEE Trans. Software Engineering, vol. 30, no. 12, pp. 1072-1083, 2004.
5. A. Bobbio, A. Sereno, and C. Anglano, "Fine grained software degradation models for optimal rejuvenation policies," Performance Evaluation, vol. 46, no. 1, pp. 45-62, 2001.
6. V. Castelli, R. E. Harper, P. Heidelberger, S. W. Hunter, K. S. Trivedi, K. Vaidyanathan, and W. P. Zeggert, "Proactive management of software aging," IBM Journal of Research and Development, vol. 45, no. 2, pp. 311-332, 2001.
7. D. Gross and C. M. Harris, Fundamentals of Queueing Theory, 3rd ed. New York: John Wiley & Sons, 1998.
8. M. Grottke and K. S. Trivedi, "Software faults, software aging and software rejuvenation," Journal of the Reliability Engineering Association of Japan, vol. 27, no. 7, pp. 425-138, 2005.
9. Y. Huang, C. Kintala, N. Kolettis, and N. Fulton, "Software rejuvenation: Analysis, module and applications," in Proc. Twenty-fifth International Symp. on Fault-Tolerant Computing, 1995, pp. 381-390.
10. M. F. Neuts, Matrix-Geometric Solutions in Stochastic Models : An Algorithmic Approach, Baltimore: The Johns Hopkins University Press, 1981.
11. R. Rajamony and M. Elnozahy, "Measuring client-perceived s on the WWW," in Proc. Third USENIX Symp. on Internet Technologies and Systems, 2001.
12. R. A. Sahner, K. S. Trivedi, and A. Puliafito, Performance and Reliability Analysis of Computer Systems: An Example-based Approach Using SHARPE. Boston: Kluwer Academic Publishers, 1996.
13. R. H. Shumway and D. S. Stoffer, Time Series Analysis and Its Applications. New York: Springer, 2000.
14. K. S. Trivedi, Probability and Statistics with Reliability, Queuing, and Computer Science Applications, 2nd ed. New York: John Wiley & Sons, 2001.
15. K. S. Trivedi, K. Vaidyanathan, and K. Goševa-Popstojanova, "Modeling and analysis of software aging and rejuvenation," in IEEE Annual Simulation Symposium, 2000, pp. 270-279.