Computing systems reliability - Info and Reading Options
models and analysis
By M. Xie, Min Xie, Kim-Leng Poh and Yuan-Shun Dai
"Computing systems reliability" was published by Kluwer Academic/Plenum Publishers in 2004 - New York, it has 293 pages and the language of the book is English.
“Computing systems reliability” Metadata:
- Title: Computing systems reliability
- Authors: M. XieMin XieKim-Leng PohYuan-Shun Dai
- Language: English
- Number of Pages: 293
- Publisher: ➤ Kluwer Academic/Plenum Publishers
- Publish Date: 2004
- Publish Location: New York
“Computing systems reliability” Subjects and Themes:
- 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 Specifications:
- Pagination: xiii, 293 p. :
Edition Identifiers:
- The Open Library ID: OL18214511M - OL9196445W
- Library of Congress Control Number (LCCN): 2004047755
- ISBN-10: 030648496X
- All ISBNs: 030648496X
AI-generated Review of “Computing systems reliability”:
"Computing systems reliability" Description:
The Open Library:
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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