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.
Main Authors: | , , , |
---|---|
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
KOHA-OAI-TEST:170713 |
---|---|
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 |
work_keys_str_mv |
AT xieminauthor computingsystemreliabilityelectronicresourcemodelsandanalysis AT daiyuanshunauthor computingsystemreliabilityelectronicresourcemodelsandanalysis AT pohkimlengauthor computingsystemreliabilityelectronicresourcemodelsandanalysis AT springerlinkonlineservice computingsystemreliabilityelectronicresourcemodelsandanalysis |
_version_ |
1756263353502662656 |