Computing System Reliability Models and Analysis /

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 t...

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Bibliographic Details
Main Authors: Xie, Min (Author), Dai, Yuan-Shun (Author), Poh, Kim-Leng (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Boston, MA : Springer US, 2004.
Subjects:
Online Access:Full Text via HEAL-Link
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024 7 |a 10.1007/b100619  |2 doi 
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100 1 |a Xie, Min.  |e author. 
245 1 0 |a Computing System Reliability  |h [electronic resource] :  |b Models and Analysis /  |c by Min Xie, Yuan-Shun Dai, Kim-Leng Poh. 
264 1 |a Boston, MA :  |b Springer US,  |c 2004. 
300 |a XIII, 293 p. 14 illus.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a 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. 
520 |a 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. 
650 0 |a Mathematics. 
650 0 |a Computer science. 
650 0 |a Microprocessors. 
650 0 |a Software engineering. 
650 0 |a Mathematical models. 
650 0 |a Mathematical logic. 
650 1 4 |a Mathematics. 
650 2 4 |a Mathematical Modeling and Industrial Mathematics. 
650 2 4 |a Computer Science, general. 
650 2 4 |a Processor Architectures. 
650 2 4 |a Mathematical Logic and Foundations. 
650 2 4 |a Software Engineering/Programming and Operating Systems. 
700 1 |a Dai, Yuan-Shun.  |e author. 
700 1 |a Poh, Kim-Leng.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9780306484964 
856 4 0 |u http://dx.doi.org/10.1007/b100619  |z Full Text via HEAL-Link 
912 |a ZDB-2-SMA 
912 |a ZDB-2-BAE 
950 |a Mathematics and Statistics (Springer-11649)