Software Engineering Research

Structural Failure Models for Fault-Tolerant Distributed Computing

Authors: Warns, Timo

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About this book

Given that faults cannot be prevented in sufficiently complex systems, means of fault tolerance are essential for dependable distributed systems. Designing and evaluating fault-tolerant systems require well-conceived fault models. In the past, theoretical works have used simplified models that, while being tractable, turned out to be inaccurate. Practical works have used probabilistic fault models that, while being more accurate, often turned out to be intractable.

Timo Warns bridges the gap between theory and practice regarding fault models. He has developed tractable fault models that, while being non-probabilistic, are accurate for dependent and propagating faults. Using seminal problems such as consensus and constructing coteries, he demonstrates how the new models can be used to design and evaluate effective and efficient means of fault tolerance.

About the authors

Dr. Timo Warns completed his doctoral thesis under the supervision of Prof. Dr. Wilhelm Hasselbring at the Carl von Ossietzky University of Oldenburg.

Table of contents (6 chapters)

Table of contents (6 chapters)
  • Introduction

    Pages 1-8

    Warns, Timo

  • Modelling Fault-Tolerant Distributed Systems

    Pages 9-38

    Warns, Timo

  • Modelling Fault Assumptions with Structural Failure Models

    Pages 39-95

    Warns, Timo

  • Constructing Coteries

    Pages 97-138

    Warns, Timo

  • Reaching Consensus

    Pages 139-187

    Warns, Timo

Buy this book

eBook n/a
  • ISBN 978-3-8348-9707-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
Softcover n/a
  • ISBN 978-3-8348-1287-2
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Structural Failure Models for Fault-Tolerant Distributed Computing
Authors
Series Title
Software Engineering Research
Copyright
2010
Publisher
Vieweg+Teubner Verlag
Copyright Holder
Vieweg+Teubner Verlag | Springer Fachmedien Wiesbaden GmbH, Wiesbaden
eBook ISBN
978-3-8348-9707-7
DOI
10.1007/978-3-8348-9707-7
Softcover ISBN
978-3-8348-1287-2
Edition Number
1
Number of Pages
XV, 216
Number of Illustrations
23 b/w illustrations
Topics