A Generalized Analytic Performance Model of Distributed Systems that Perform N Tasks Using P Fault-Prone Processors
G. Weerasinghe, Imad Antonios, Lester Lipsky · 2002
A family of Markov models for analyzing the performance of parallel processors that execute a job consisting ofNindependent tasks usingPfault-prone processors is presented in this paper. This study extends our previous study by allowing idle processors to fail, and also by developing performance models to analyze the case where one processor is fail-safe. The models are based on Markov Chains with states representing service, and failure rates withk(0