Computing systems reliability
models and analysis
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Author
Contributions
- Dai, Yuan-Shum. - Contributor
- Poh, Kim-Leng. - Contributor
Publication
2004 - Kluwer Academic/Plenum Publishers, New York, New York (State)
Language
English
Word Count
73,250 words, Guess
Page Count
293 pages
Identifiers
- Open LibraryOL18214511M
- ISBN-10030648496X
- OCLC Control Numbercomputingsystems00xiem
- Library of Congress Control Number2004047755
- LibraryThing3717045
and 1 more
- Goodreads338160
Classifications
- LCCQA76.5 .X54 2004
Description
Computing systems are of growing importance because of their wide use in many areas including those in safety-critical systems. This book describes the basic models and approaches to the reliability analysis of such systems. An extensive review is provided and models are categorized into different types. Some Markov models are extended to the analysis of some specific computing systems such as combined software and hardware, imperfect debugging processes, failure correlation, multi-state systems, heterogeneous subsystems, etc. One of the aims of the presentation is that based on the sound analysis and simplicity of the approaches, the use of Markov models can be better implemented in the computing system reliability.
Subjects
Topics
Other Editions
- Computing systems reliability: models and analysis
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