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＜E-Book＞
Computing System Reliability : Models and Analysis / by Min Xie, Kim-Leng Poh, Yuan-Shun Dai

Edition	1st ed. 2004.
Publisher	(New York, NY : Springer US : Imprint: Springer)
Year	2004
Language	English
Size	XIII, 293 p. 14 illus : online resource
Authors	*Min Xie author Kim-Leng Poh author Yuan-Shun Dai author SpringerLink (Online service)
Subjects	LCSH:Mathematical models LCSH:Computer science LCSH:Microprocessors LCSH:Computer architecture LCSH:Mathematical logic LCSH:Software engineering FREE:Mathematical Modeling and Industrial Mathematics FREE:Computer Science FREE:Processor Architectures FREE:Mathematical Logic and Foundations FREE:Software Engineering
Notes	Basic Reliability Concepts and Analysis -- Models for Hardware System Reliability -- Models for Software Reliability -- Models for Integrated Systems -- Availability and Reliability of Distributed Computing Systems -- Reliability of Grid Computing Systems -- Multi-state System Reliability -- Optimal System Design and Resource Allocation 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 HTTP:URL=https://doi.org/10.1007/b100619

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