Calculating Cumulative Operational Time Distributions of Repairable Computer Systems
IEEE Transactions on Computers - The MIT Press scientific computation series
Analysis of Performability for Stochastic Models of Fault-Tolerant Systems
IEEE Transactions on Computers
Evaluation of Performability for Degradable Computer Systems
IEEE Transactions on Computers
Performability Analysis: Measures, an Algorithm, and a Case Study
IEEE Transactions on Computers - Fault-Tolerant Computing
Performability Analysis Using Semi-Markov Reward Processes
IEEE Transactions on Computers
Cyclic strong ergodicity in nonhomogeneous Markov systems
SIAM Journal on Matrix Analysis and Applications
Performance Evaluation - Special issue on modelling techniques and tools for performance evaluation
On Markov reward modelling with FSPNs
Performance Evaluation
A Unified Framework for the Performability Evaluation of Fault-Tolerant Computer Systems
IEEE Transactions on Computers
Performance-Related Reliability Measures for Computing Systems
IEEE Transactions on Computers
Closed-Form Solutions of Performability
IEEE Transactions on Computers
On Evaluating the Performability of Degradable Computing Systems
IEEE Transactions on Computers
User-perceived software service availability modeling with reliability growth
ISAS'08 Proceedings of the 5th international conference on Service availability
Semi-Markov performance modelling of a redundant system with partial, full and failed rejuvenation
International Journal of Critical Computer-Based Systems
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The main objective of this paper is to propose a generalized form of the performability measure, which has been initially defined for the purpose of studying the performance and reliability analysis of fault tolerant systems. This generalized form takes into account more detailed rewards and can be used in general for maintenance cost analysis as well as in the modeling of the website users behavior. We give different formulations by means of a homogeneous Markov chain and a cyclic nonhomogeneous Markov chain and their asymptotic expression.