Dependability and performability analysis

TitleDependability and performability analysis
Publication TypeConference Paper
Year of Publication1993
AuthorsKS Trivedi, G Ciardo, M Malhotra, and RA Sahner
Conference NameLecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Date Published01/1993
Abstract

© 1993, Springer-Verlag. All rights reserved. In this tutorial, we discuss several practical issues regarding specification and solution of dependability and performability models. We compare model types with and without rewards. Continuous-time Markov chains (CTMCs) are compared with (continuous-time) Markov reward models (MRMs) and generalized stochastic Petri nets (GSPNs) are compared with stochastic reward nets (SRNs). It is shown that reward-based models could lead to more concise model specification and solution of a variety of new measures. With respect to the solution of dependability and performability models, we identify three practical issues: largeness, stiffness, and non-exponentiality, and we discuss a variety of approaches to deal with them, including some of the latest research efforts.

DOI10.1007/bfb0013869