Title :
Ultrahigh Reliability Prediction for Fault-Tolerant Computer Systems
Author :
Geist, Robert M. ; Trivedi, Kishor S.
Author_Institution :
Department of Computer Science, Duke University
Abstract :
A review and a critical evaluation of a representative class of state-of-the-art models for ultrahigh reliability prediction is presented. This evaluation naturally leads us to a new model for ultrahigh reliability prediction now under development. The new model combines the flexibility and accuracy of simulation with the speed of analytic models.
Keywords :
Analytic modeling; Markov process; fault coverage; fault-tolerant computers; hybrid models; reliability modeling; sensitivity analysis; simulation models; Analytical models; Computational modeling; Fault tolerance; Fault tolerant systems; Markov processes; Nuclear magnetic resonance; Predictive models; Random variables; Redundancy; Voting; Analytic modeling; Markov process; fault coverage; fault-tolerant computers; hybrid models; reliability modeling; sensitivity analysis; simulation models;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.1983.1676172
