Modeling and analysis of computer system availability
IBM Journal of Research and Development
Importance sampling for stochastic simulations
Management Science
Bounding Availability of Repairable Systems
IEEE Transactions on Computers
IEEE Transactions on Software Engineering
A Unified Framework for Simulating Markovian Models of Highly Dependable Systems
IEEE Transactions on Computers
Using CSIM to model complex systems
WSC '88 Proceedings of the 20th conference on Winter simulation
Variance reduction in mean time to failure simulations
WSC '88 Proceedings of the 20th conference on Winter simulation
Measure specific dynamic importance sampling for availability simulations
WSC '87 Proceedings of the 19th conference on Winter simulation
Simulation and analysis of highly reliable systems
Simulation and analysis of highly reliable systems
Fast simulation of rare events in queueing and reliability models
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Rare event simulation in stochastic models
WSC '95 Proceedings of the 27th conference on Winter simulation
Efficient estimation of the mean time between failures in non-regenerative dependability models
WSC '93 Proceedings of the 25th conference on Winter simulation
Estimation of reliability and its derivatives for large time horizons in Markovian systems
WSC '93 Proceedings of the 25th conference on Winter simulation
ICATPN '02 Proceedings of the 23rd International Conference on Applications and Theory of Petri Nets
SPNP: Stochastic Petri Nets. Version 6.0
TOOLS '00 Proceedings of the 11th International Conference on Computer Performance Evaluation: Modelling Techniques and Tools
Probability in the Engineering and Informational Sciences
Rebuild processing in RAID5 with emphasis on the supplementary parity augmentation method[37]
ACM SIGARCH Computer Architecture News
Rare event simulation for highly dependable systems with fast repairs
Performance Evaluation
Models For Dependable Computation with Multiple Inputs and Some Hardness Results
Fundamenta Informaticae
| Hi-index | 14.98 |
An approach for simulating models of highly dependable systems with general failure and repair time distribution is described. The approach combines importance sampling with event rescheduling in order to obtain variance reductions in such rare event simulations. The approach is general in nature and allows a variety of features commonly arising in dependability modeling to be simulated effectively. It is shown how the technique can be applied to systems with redundant components and/or periodic maintenance. For different failure time distributions, the effect of the maintenance period on the steady-state availability is explored. The amount of component redundancy needed to achieve a certain reliability level is determined.