Title :
A Technique for Estimating Performance of Fault-Tolerant Programs
Author :
Schlichting, Richard D.
Author_Institution :
Department of Computer Science, University of Arizona
fDate :
6/1/1985 12:00:00 AM
Abstract :
A technique is presented for estimating the performance of programs written for execution on fail-stop processors. It is based on modeling the program as a discrete-time Markov chain and then using z-transforms to derive a probability distribution for time to completion.
Keywords :
Fail-stop processors; Markov chains; fault-tolerant computing; performance evaluation; z-transforms; Computer crashes; Control theory; Distributed computing; Fault tolerance; Fault tolerant systems; Helium; Probability distribution; Random variables; Software performance; Writing; Fail-stop processors; Markov chains; fault-tolerant computing; performance evaluation; z-transforms;
Journal_Title :
Software Engineering, IEEE Transactions on
DOI :
10.1109/TSE.1985.232493
