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Fundamentals of Reliability Engineering

Applications in Multistage Interconnection Networks
By Indra Gunawan
Series: Performability Engineering Series
Copyright: 2014   |   Expected Pub Date:March 28, 2014 //
ISBN: 9781118549568  |  Hardcover  |  
178 pages | 82 illustrations
Price: $149 USD
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One Line Description
Provides fundamentals of reliability engineering and illustrates practical applications in the area of parallel/distributed systems (Multistage Interconnection Networks)

The book will appeal to a wide range of readers from researchers and students to reliability engineers, electrical engineers, computer engineers,and other engineering professionals involved in the design, development,manufacture, and maintenance of reliable engineering products and systems.

The first part of the book (chapters 1–5) introduces the concept of reliability engineering, elements of probability theory, probability distributions,availability, and data analysis. The second part of the book (chapters 6–11)
provides an overview of parallel/distributed computing, network design considerations, classification of multistage interconnection networks,network reliability evaluation methods, and reliability analysis of multistage
interconnection networks including reliability prediction of distributed systems using Monte Carlo method.

Fundamentals of Reliability Engineering meets the increasing demand for knowledge tools that practicing reliability professionals can use to optimize their reliability decisions. Reliability prediction is important as it determines the usability and efficiency of the network to provide services. Reliability evaluation methods discussed in this book can be applied to analyze the reliability of any other systems. As an example, reliability analysis of distributed systems that consist of layers of switching elements connected together in a predefined topology that provide the connectivity between the set of processors and the set of memory modules, are presented.

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Author / Editor Details
Indra Gunawan, PhD, is a Senior Lecturer and Coordinator of Postgraduate Programs in Maintenance and Reliability Engineering in the School of Applied Sciences and Engineering at the Federation University, Australia. He completed his PhD degree in industrial engineering from Northeastern University, USA. Prior to joining Monash University, he served as a faculty member in the Department of Mechanical and Manufacturing Engineering at Auckland University of Technology, New Zealand. His main areas of research are maintenance and reliability engineering, project management,application of operations research, operations management, applied statistics, probability modeling, and engineering systems design. His work has appeared in many peer-reviewed journals and conference proceedings.

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Table of Contents
1 Introduction to Reliability Engineering
1.1 The Logic of Certainty
1.2 Union (OR) operation
1.3 Intersection (AND) operation
1.4 Series systems
1.5 Parallel systems
1.6 General Series-Parallel System
1.7 Active Redundancy
1.8 Standby Redundancy
1.9 Fault Tree Analysis
1.10 Minimum Cut Sets and Path Sets

2 Elements of Probability Theory
2.1 Basic Rules of Probability
2.2 Cumulative Distribution Function
2.3 Probability Mass Function
2.4 Probability Density Function
2.5 Moments
2.6 Percentiles

3 Probability Distributions
3.1 Binomial
3.2 Poisson
3.3 Exponential
3.4 Weibull
3.5 Normal
3.6 Lognormal
3.7 Mean Time To Failure (MTTF)

4 Availability
4.1 Definition
4.2 Summary
4.3 Availability of Systems with Repair

5 Data Analysis
5.1 Theoretical Model and Evidence
5.2 Censored Samples
5.3 Bayesian Theorem

6 Introduction to Network Systems
6.1 Parallel Computing and Networks
6.2 Network Design Considerations
6.3 Classification of Interconnection Networks

7 Classification of Multistage Interconnection Networks
7.1 Background
7.2 Multistage Cube Network
7.3 Extra-Stage Cube Network
7.4 Shuffle-Exchange Network
7.5 Shuffle-Exchange Network with an Additional Stage
7.6 Gamma Network
7.7 Extra-Stage Gamma Network
7.8 Dynamic Redundancy Network
7.9 Improved Enhanced Augmented Data Manipulator Network
7.10 Improved Logical Neighborhood Network
7.11 Comparison

8 Network Reliability Evaluation Methods
8.1 Overview of Network Reliability
8.2 Network Model
8.3 Network Operations
8.4 Approaches for Calculating Network Reliability

9 Reliability Analysis of Multistage Interconnection Networks
9.1 Reliability Analysis of Shuffle-Exchange Network with Minimal Extra Stages
9.2 Terminal Reliability Improvement in Modified Shuffle-Exchange Network
9.3 Reliability Bounds for Large MINs

10 Terminal Reliability Assessment of Gamma and Extra-Stage Gamma Networks
10.1 Introduction
10.2 Gamma Network
10.3 Terminal Reliability of Gamma Network
10.4 Extra-Stage Gamma Network
10.5 Comparison
10.6 Conclusions

11 Reliability Prediction of Distributed Systems Using Monte Carlo Method
11.1 Introduction
11.2 Reliability Parameters
11.3 Monte Carlo Method
11.4 Confidence Interval for Monte Carlo Point Estimate
11.5 Numerical Results
11.6 Conclusion

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Author/Editor Details
Table of Contents
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