Dependability modeling of real-time systems using stochastic reward nets

TitleDependability modeling of real-time systems using stochastic reward nets
Publication TypeJournal Article
Year of Publication1995
AuthorsC Constantinescu, and K Trivedi
JournalMicroelectronics Reliability
Volume35
Issue6
Start Page903
Pagination903 - 914
Date Published01/1995
Abstract

Dependability modeling plays a major role in the design, validation and maintenance of real-time computing systems. Typical models provide measures such as mean time to failure, reliability and safety as functions of the component failure rates and fault/error coverage probabilities. In this paper we propose a modeling technique that allows the coverage to be dependent upon the local (i.e. embedded at task level) and global (i.e. available at system level) fault/error detection and recovery mechanisms. This approach also ensures important savings in terms of the simulation time required for deriving the coverage probabilities. Stochastic. reward nets are employed as a unique dependability modeling framework. For illustrating the usefulness of this technique we analyze dependability of a railroad control computer. © 1995.

DOI10.1016/0026-2714(94)00150-M
Short TitleMicroelectronics Reliability