Structural Failure Models for Fault-Tolerant Distributed Computing
by Warns, Timo
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 be…
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- Full title :Structural Failure Models for Fault-Tolerant Distributed Computing / by Timo Warns.
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 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.
Read More ↓Edition Statements
- Publication Date:2010.
- Edition:1st ed. 2010
Publication Statements
- Publisher(s):Imprint: Vieweg+Teubner Verlag, Vieweg+Teubner Verlag
- Place of Publication:Wiesbaden
- Language:eng
- Publication Date:2010.
The Physical Object
- Description:1 online resource.
Edition Identifiers
- ISBN:9781283172486, 1283172488, 9783834897077, 3834897078
- oclc:on1326215707
- LC Classification:TK5105.5-5105.9
- Dewey Decimal:004.2
Table of Contents
Modelling Fault-Tolerant Distributed Systems -- Modelling Fault Assumptions with Structural Failure Models -- Constructing Coteries -- Reaching Consensus -- Conclusion and FutureWork.
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