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Structural failure models for fault-tolerant distributed computing

Author: Timo Warns
Publisher: Wiesbaden : Vieweg+Teubner, ©2010.
Dissertation: Diss.-- Universität Oldenburg, 2009.
Series: Vieweg+Teubner research., Software engineering research.
Edition/Format:   Thesis/dissertation : Document : Thesis/dissertation : eBook   Computer File : EnglishView all editions and formats
Database:WorldCat
Summary:
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  Read more...
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Details

Genre/Form: Electronic books
Material Type: Document, Thesis/dissertation, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Timo Warns
ISBN: 9783834897077 3834897078 3834812870 9783834812872
OCLC Number: 701719307
Language Note: Abstract in German.
Description: 1 online resource (xiv, 216 pages).
Contents: 1. Introduction --
2. Modelling fault-tolerant distributed systems --
3. Modelling fault assumptions with structural failure models --
4. Constructing coteries --
5. Reaching consensus --
6. Conclusion and future work.
Series Title: Vieweg+Teubner research., Software engineering research.
Responsibility: Timo Warns ; with a foreword by Wilhelm Hasselbring.

Abstract:

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.

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