Analysis of Preventive Maintenance in Transactions Based Software Systems
IEEE Transactions on Computers
Probability and statistics with reliability, queuing and computer science applications
Probability and statistics with reliability, queuing and computer science applications
DSN '02 Proceedings of the 2002 International Conference on Dependable Systems and Networks
Statistical non-parametric algorithms to estimate the optimal software rejuvenation schedule
PRDC '00 Proceedings of the 2000 Pacific Rim International Symposium on Dependable Computing
A Methodology for Detection and Estimation of Software Aging
ISSRE '98 Proceedings of the The Ninth International Symposium on Software Reliability Engineering
Software Rejuvenation: Analysis, Module and Applications
FTCS '95 Proceedings of the Twenty-Fifth International Symposium on Fault-Tolerant Computing
Analysis of Periodic Preventive Maintenance with General System Failure Distribution
PRDC '01 Proceedings of the 2001 Pacific Rim International Symposium on Dependable Computing
A Comprehensive Model for Software Rejuvenation
IEEE Transactions on Dependable and Secure Computing
Software Aging and Rejuvenation in a SOAP-based Server
NCA '06 Proceedings of the Fifth IEEE International Symposium on Network Computing and Applications
A Nonlinear Approach to Modeling of Software Aging in a Web Server
APSEC '08 Proceedings of the 2008 15th Asia-Pacific Software Engineering Conference
High-available grid services through the use of virtualized clustering
GRID '07 Proceedings of the 8th IEEE/ACM International Conference on Grid Computing
Using Accelerated Life Tests to Estimate Time to Software Aging Failure
ISSRE '10 Proceedings of the 2010 IEEE 21st International Symposium on Software Reliability Engineering
Injecting Memory Leaks to Accelerate Software Failures
ISSRE '11 Proceedings of the 2011 IEEE 22nd International Symposium on Software Reliability Engineering
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Software aging is caused by resource exhaustion and can lead to progressive performance degradation or result in a crash. We develop experiments that simulate an on-line bookstore application, using the standard configuration of TPC-W benchmark. We study application failures due to memory leaks, using the accelerated life testing (ALT). ALT significantly reduces the time needed to estimate the time to failure at normal level. We then select the Weibull time to failure distribution at normal level, to be used in a semi-Markov model so as to optimize the software rejuvenation trigger interval. Then we derive the optimal rejuvenation schedule interval by fixed point iteration and by an alternative non-parametric estimation algorithm. Finally, we develop a simulation model using importance sampling (IS) to cross validate the ALT experimental results and the semi-Markov model, and also we apply the non-parametric method to cross validate the optimized trigger intervals by comparing the availabilities obtained from the semi-Markov model and those from IS simulation using the non-parametric method.