Workload characterization for software aging analysis

Proceedings - International Symposium on Software Reliability Engineering, ISSRE

Volumn , Issue , 2011, Pages 240-249

  Bovenzi, Antonio ^a   Cotroneo, Domenico ^a   Pietrantuono, Roberto ^a   Russo, Stefano ^a,b  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^b Laboratorio CINI ITEM Carlo Savy   (Italy)

Author keywords

Empirical Study; Software Aging

Indexed keywords

AGING TREND; APACHE WEB SERVER; EMPIRICAL STUDIES; EXPERIMENTAL CONDITIONS; INDIVIDUAL SYSTEMS; MAIL SERVERS; SOFTWARE AGING; SOFTWARE APPLICATIONS; WORKLOAD CHARACTERIZATION;

MIDDLEWARE; SOFTWARE RELIABILITY;

EXPERIMENTS;

EID: 84856872393     PISSN: 10719458     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSRE.2011.18     Document Type: Conference Paper

References (23)

1. M. Grottke and K. S. Trivedi. Fighting bugs: Remove, retry, replicate, and rejuvenate. Computer Communications, 40(2):107-109, 2007.
2. M. Grottke, L. Lie, K. Vaidyanathan, and K. S. Trivedi, Analysis of software aging in a web server, IEEE Trans. Reliability, vol. 55, no. 3, pp. 411-420, 2006. (Pubitemid 46547556)
3. G. Carrozza, D. Cotroneo, R. Natella, A. Pecchia, S. Russo, Memory Leak Analysis of Mission-Critical Middleware. Journal of Systems and Software vol. 83, no. 9, 2010.
4. E. Marshall Fatal Error: How Patriot Overlooked Scud. Science, p. 1347, Mar.1992
5. A.Tai, S.Chau, L. Alkalaj and H.Hecht. On-board Preventive Maintenance: Analysis of Effectiveness an Optimal Duty Period. Proc. 3rd Workshop on Object-Oriented Real-Time Dependable Systems, 1997
6. D. Cotroneo, S. Orlando, S. Russo, Characterizing Aging Phenomena of the Java Virtual Machine. Proc. of the 26th Symp. on Reliable Distributed Systems, 2007, pp. 127-136.
7. S. Garg, A. Puliato, K. Trivedi, Analysis of Software Rejuvenation using Markov Regenerative Stochastic Petri Nets. Proc. of 6th Intl. Symp. on Software Reliability Engineering, 1995.
8. Y. Bao, X. Sun, and K. Trivedi, A Workload-Based Analysis of Software Aging, and Rejuvenation, IEEE Transactions on Reliability, vol. 54, no. 3, p. 541, 2005.
9. K.J. Cassidy, K.C. Gross, A. Malekpour. Advanced pattern recognition for detection of complex software aging phenomena in online transaction processing servers. Proc. of the Intl. Confer. on Dependable Systems and Networks, 2002, 478-482.
10. K. Vaidyanathan and K. Trivedi, A Comprehensive Model for Software Rejuvenation, IEEE Transactions on Dependable and Secure Computing, vol. 2, no. 2, pp. 124137, 2005.
11. S. Garg, A. V. Moorsel, K. Vaidyanathan, and K. S. Trivedi, A Methodology for Detection and Estimation of Software Aging, in Proc. of the 9th Intl. Symp. on Software Reliability Engineering, 1998.
12. K. Vaidyanathan and K.S. Trivedi. A measurement-based model for estimation of resource exhaustion in operational software systems. Proc. of 10th International Symposium on Software Reliability Engineering, 1999, 84-93.
13. Wang, Dazhi and Xie, Wei and Trivedi, Kishor S. Performability analysis of clustered systems with rejuvenation under varying workload. Performance Evaluation, 247-265, 2007.
14. R. Matias Jr and P. Freitas, An Experimental Study on Software Aging and Rejuvenation in Web Servers. Proc. of the 30th Intl. Computer Software and Applications Conference (COMPSAC), vol. 01, 2006, pp. 189196.
15. L. Silva, H. Madeira, and J.G. Silva. Software aging and rejuvenation in a soap-based server. Proc. of 5th Intl. Symposium on Network Computing and Applications, 56 65, 2006.
16. G. A. Hoffmann, K. S. Trivedi, and M. Malek. A best practice guide to resources forecasting for the apache webserver. In 12th IEEE Pacic Rim International Symposium on Dependable Computing, 183-193, 2006.
17. D. Cotroneo, R. Natella, R. Pietrantuono, S. Russo, Software Aging Analysis of the Linux Operating System. Proc. of 21st IEEE Intl. Symp. on Software Reliability Engineering, 2010.
18. R. Matias, Jr., Pedro A. Barbetta, K. S. Trivedi, P. J. Freitas Filho, Accelerated Degradation Tests Applied to Software Aging Experiments, IEEE Trans. on Reliability, 59 (1), 2010.
19. Douglas C. Montgomery, Design and Analysis of Experiments. 5th edition.
20. Pranab, Kumar, Sen, Estimates of the Regression Coefficient Based on Kendalls Tau, Journal of the American Statistical Association, Vol. 63, No. 324 (Dec., 1968), pp. 1379-1389
21. Yun-Fei Jia, Xiu-E Chen, Lei Zhao and Kai-Yuan Cai. On the Relationship between Software Aging and Related Parameters. Proc. of the 8th Intl. Conference on Quality Software, 2008
22. A.Avritzer, A. Bondi, M. Grottke, K. Trivedi, E.J. Weyuker. Performance Assurance via Software Rejuvenation: Monitoring, Statistics and Algorithms, Proc. of the International Conference on Dependable Systems and Networks 2006
23. M. Grottke, R. Matias Jr., K. S. Trivedi, The Fundamentals of Software Aging. Proc. of the 1st International Workshop on Software Aging and Rejuvenation/19th IEEE International Symposium on Software Reliability Engineering, 2008.