Calculating Cumulative Operational Time Distributions of Repairable Computer Systems
IEEE Transactions on Computers - The MIT Press scientific computation series
Analysis of a composite performance reliability measure for fault-tolerant systems
Journal of the ACM (JACM)
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
Journal of the ACM (JACM)
On Evaluating the Cumulative Performance Distribution of Fault-Tolerant Computer Systems
IEEE Transactions on Computers
Multimedia: from topic to course
Proceedings of the thirty-first SIGCSE technical symposium on Computer science education
A Unified Framework for the Performability Evaluation of Fault-Tolerant Computer Systems
IEEE Transactions on Computers
Transient analysis applied to traffic modeling
ACM SIGMETRICS Performance Evaluation Review
A new methodology for calculating distributions of reward accumulated during a finite interval
FTCS '96 Proceedings of the The Twenty-Sixth Annual International Symposium on Fault-Tolerant Computing (FTCS '96)
Model-Based Evaluation: From Dependability to Security
IEEE Transactions on Dependable and Secure Computing
Call packing bound for overflow loss systems
Performance Evaluation
Modeling resource sharing for a road-side access point supporting drive-thru internet
Proceedings of the sixth ACM international workshop on VehiculAr InterNETworking
Performability: asymptotic distribution and moment computation
Computers & Mathematics with Applications
Modeling and analyzing transient military air traffic control
Proceedings of the Winter Simulation Conference
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Markov reward models have been employed to obtain performability measures of computer and communication systems. In these models, a continuous time Markov chain is used to represent changes in the system structure, usually caused by faults and repairs of its components, and reward rates are assigned to states of the model to indicate some measure of accomplishment at each structure. A procedure to calculate numerically the distribution of the reward accumulated over a finite observation period is presented. The development is based solely on probabilistic arguments, and the final recursion is quite simple. The algorithm has a low computational cost in terms of model parameters. In fact, the number of operations is linear in a parameter that is smaller than the number of rewards, while the storage required is independent of the number of rewards. We also consider the calculation of the distribution of cumulative reward for models in which impulse based rewards are associated with transitions.