Computing System Reliability [electronic resource] : 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 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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Bibliographic Details
Main Authors: Xie, Min. author., Dai, Yuan-Shun. author., Poh, Kim-Leng. author., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Boston, MA : Springer US, 2004
Subjects:Mathematics., Computer science., Microprocessors., Software engineering., Mathematical models., Mathematical logic., Mathematical Modeling and Industrial Mathematics., Computer Science, general., Processor Architectures., Mathematical Logic and Foundations., Software Engineering/Programming and Operating Systems.,
Online Access:http://dx.doi.org/10.1007/b100619
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record_format koha
spelling KOHA-OAI-TEST:1707132018-07-30T22:47:18ZComputing System Reliability [electronic resource] : Models and Analysis / Xie, Min. author. Dai, Yuan-Shun. author. Poh, Kim-Leng. author. SpringerLink (Online service) textBoston, MA : Springer US,2004.engComputing 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.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.Mathematics.Computer science.Microprocessors.Software engineering.Mathematical models.Mathematical logic.Mathematics.Mathematical Modeling and Industrial Mathematics.Computer Science, general.Processor Architectures.Mathematical Logic and Foundations.Software Engineering/Programming and Operating Systems.Springer eBookshttp://dx.doi.org/10.1007/b100619URN:ISBN:9780306486364
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Mathematics.
Computer science.
Microprocessors.
Software engineering.
Mathematical models.
Mathematical logic.
Mathematics.
Mathematical Modeling and Industrial Mathematics.
Computer Science, general.
Processor Architectures.
Mathematical Logic and Foundations.
Software Engineering/Programming and Operating Systems.
Mathematics.
Computer science.
Microprocessors.
Software engineering.
Mathematical models.
Mathematical logic.
Mathematics.
Mathematical Modeling and Industrial Mathematics.
Computer Science, general.
Processor Architectures.
Mathematical Logic and Foundations.
Software Engineering/Programming and Operating Systems.
spellingShingle Mathematics.
Computer science.
Microprocessors.
Software engineering.
Mathematical models.
Mathematical logic.
Mathematics.
Mathematical Modeling and Industrial Mathematics.
Computer Science, general.
Processor Architectures.
Mathematical Logic and Foundations.
Software Engineering/Programming and Operating Systems.
Mathematics.
Computer science.
Microprocessors.
Software engineering.
Mathematical models.
Mathematical logic.
Mathematics.
Mathematical Modeling and Industrial Mathematics.
Computer Science, general.
Processor Architectures.
Mathematical Logic and Foundations.
Software Engineering/Programming and Operating Systems.
Xie, Min. author.
Dai, Yuan-Shun. author.
Poh, Kim-Leng. author.
SpringerLink (Online service)
Computing System Reliability [electronic resource] : Models and Analysis /
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.
format Texto
topic_facet Mathematics.
Computer science.
Microprocessors.
Software engineering.
Mathematical models.
Mathematical logic.
Mathematics.
Mathematical Modeling and Industrial Mathematics.
Computer Science, general.
Processor Architectures.
Mathematical Logic and Foundations.
Software Engineering/Programming and Operating Systems.
author Xie, Min. author.
Dai, Yuan-Shun. author.
Poh, Kim-Leng. author.
SpringerLink (Online service)
author_facet Xie, Min. author.
Dai, Yuan-Shun. author.
Poh, Kim-Leng. author.
SpringerLink (Online service)
author_sort Xie, Min. author.
title Computing System Reliability [electronic resource] : Models and Analysis /
title_short Computing System Reliability [electronic resource] : Models and Analysis /
title_full Computing System Reliability [electronic resource] : Models and Analysis /
title_fullStr Computing System Reliability [electronic resource] : Models and Analysis /
title_full_unstemmed Computing System Reliability [electronic resource] : Models and Analysis /
title_sort computing system reliability [electronic resource] : models and analysis /
publisher Boston, MA : Springer US,
publishDate 2004
url http://dx.doi.org/10.1007/b100619
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