Computing systems reliability
models and analysis
by M. Xie, Min Xie, Kim-Leng Poh, and Yuan-Shun Dai
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.
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Subjects
Electronic digital computers, Reliability, Computers, General Theory of Computing, Computers - General Information, Computer Books: Languages, Computer Architecture - General, Computer Science, Programming - Software Development, Mathematics / Applied, Programming - Systems Analysis & Design, Electronic digital computers, reliability, Literary collections, Mathematics, Software engineering, Symbolic and mathematical Logic, Mathematical Modeling and Industrial Mathematics, Computer Science, general, Processor Architectures, Mathematical Logic and Foundations, Software Engineering/Programming and Operating Systems| Edition | Availability |
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1
Computing System Reliability: Models and Analysis (Cell Engineering)
April 30, 2004, Springer
Hardcover
in English
- 1 edition
030648496X 9780306484964
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2
Computing systems reliability: models and analysis
2004, Kluwer Academic/Plenum Publishers
in English
030648496X 9780306484964
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Book Details
Edition Notes
Includes bibliographical references (p. 275-289) and index.
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