Monitoring Smoothly Degrading Systems for Increased Dependability
Empirical Software Engineering
A Methodology for Detection and Estimation of Software Aging
ISSRE '98 Proceedings of the The Ninth International Symposium on Software Reliability Engineering
A Measurement-Based Model for Estimation of Resource Exhaustion in Operational Software Systems
ISSRE '99 Proceedings of the 10th International Symposium on Software Reliability Engineering
An Approach for Estimation of Software Aging in a Web Server
ISESE '02 Proceedings of the 2002 International Symposium on Empirical Software Engineering
Software Rejuvenation: Analysis, Module and Applications
FTCS '95 Proceedings of the Twenty-Fifth International Symposium on Fault-Tolerant Computing
Maximizing Interval Reliability in Operational Software System with Rejuvenation
ISSRE '03 Proceedings of the 14th International Symposium on Software Reliability Engineering
Proactive management of software aging
IBM Journal of Research and Development
Discrete-time cost analysis for a telecommunication billing application with rejuvenation
Computers & Mathematics with Applications
Environmental diversity techniques of software systems
FGIT'11 Proceedings of the Third international conference on Future Generation Information Technology
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Software rejuvenation is a preventive and proactive solution that is particularly useful for counteracting the phenomenon of software aging. In this article, we consider periodic software rejuvenation models based on the expected cost per unit time in the steady state under discrete-time operation circumstance. By applying the discrete renewal reward processes, we describe the stochastic behavior of a telecommunication billing application with a degradation mode, and determine the optimal periodic software rejuvenation schedule minimizing the expected cost. Similar to the earlier work by the same authors, we develop a statistically non-parametric algorithm to estimate the optimal software rejuvenation schedule, by applying the discrete total time on test concept. Numerical examples are presented to estimate the optimal software rejuvenation schedules from the simulation data. We discuss the asymptotic behavior of estimators developed in this paper.