Description
Book SynopsisMarkov modeling has long been accepted as a fundamental and powerful technique for the fault tolerance analysis of mission-critical applications. However, the elaborate computations required have often made Markov modeling too time-consuming to be of practical use on these complex systems. With this hands-on tool, designers can use the Markov modeling technique to analyze safety, reliability, maintainability, and cost-effectiveness factors in the full range of complex systems in use today.
Featuring ground-breaking simulation software and a comprehensive reference manual, MARKOV MODELING FOR RELIABILITY ANALYSIS helps system designers surmount the mathematical computations that have previously prevented effective reliability analysis. The text and software compose a valuable self-study tool that is complete with detailed explanations, examples, and a library of Markov models that can be used for experiments and as derivations for new simulation models. The book details how
Table of ContentsSeries Introduction.
Preface.
Introduction.
System Requirements and Design.
Foundations of Probability Theory.
Basic Reliability Concepts.
Basic Reliability Models.
Markov Process Fundamentals.
Hardware Reliability Modeling.
Software Reliability Modeling.
Combined Hardware-Software Reliability Modeling.
Modeling of Large and Complex Systems.
Maintainability Modeling.
Availability Modeling.
Safety Modeling.
Markov Model Evaluation.
Effectiveness Modeling.
Support Analyses.
Application Examples.
Practical Design of Fault-Tolerant Systems.
CARMS User's Guide.
CARMS Model Library.
CARMS Reference.
Definitions and Acronyms.
References.
Index.
About the Authors.
