Calculating Cumulative Operational Time Distributions of Repairable Computer Systems
IEEE Transactions on Computers - The MIT Press scientific computation series
Journal of the ACM (JACM)
Probability and Statistics with Reliability, Queuing and Computer Science Applications
Probability and Statistics with Reliability, Queuing and Computer Science Applications
Polling systems with server timeouts and their application to token passing networks
IEEE/ACM Transactions on Networking (TON)
Availability and Performance Evaluation of Database Systems under Periodic Checkpoints
FTCS '95 Proceedings of the Twenty-Fifth International Symposium on Fault-Tolerant Computing
Modeling, analysis, measurement and experimentation with the Tangram-II integrated environment
valuetools '06 Proceedings of the 1st international conference on Performance evaluation methodolgies and tools
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A solution method is developed to analyze various scheduled maintenance policies for repairable computer systems. The analysis is applicable to systems with behavior (exclusive of the scheduled maintenance policy) that can be modeled by a continuous-time Markov process, and thus important characteristics can be included in the model. Furthermore, the assumption of perfect repair, which is unrealistic for most systems, is not used. Both transient and steady-state measures are obtained. The measures considered include expected availability, expected number of unscheduled repairs (repairs that are performed outside of the scheduled maintenance period), and the probability of an unscheduled repair. The solution approach is based on the randomization technique and possesses advantage such as numerical stability and ease of implementation.