000 06180nam a2201297 i 4500
001 5263338
003 IEEE
005 20230927112345.0
006 m o d
007 cr |n|||||||||
008 100317t20151998nyua ob 001 0 eng d
020 _a9780470545317
_qelectronic
020 _z9780780334823
_qprint
020 _z0470545313
_qelectronic
024 7 _a10.1109/9780470545317
_2doi
035 _a(CaBNVSL)mat05263338
035 _a(IDAMS)0b000064810c353f
040 _aCaBNVSL
_beng
_erda
_cCaBNVSL
_dCaBNVSL
082 0 4 _a004.2/1/01176
100 1 _aPukite, Jan,
_d1928-
245 1 0 _aModeling for reliability analysis :
_bMarkov modeling for reliability, maintainability, safety, and supportability analyses of complex computer systems /
_cJan Pukite, Paul Pukite.
264 1 _aNew York :
_bIEEE Press,
_cc1998.
264 2 _a[Piscataqay, New Jersey] :
_bIEEE Xplore,
_c[1998]
300 _a1 PDF (xix, 258 pages) :
_billustrations.
336 _atext
_2rdacontent
337 _aelectronic
_2isbdmedia
338 _aonline resource
_2rdacarrier
490 1 _aIEEE Press series on engineering of complex computer systems ;
_v2
504 _aIncludes bibliographical references (p. 245-248) and index.
505 0 _aSeries Introduction. Preface. Introduction. System Requirements and Design. Foundations of Probability Theory. Basic Reliability Concepts. Basic Reliability Models. Markov Process Fundamentals. Hardware Reliability Modeling. Software Reliability Modeling. Combined Hardware-Software Reliability Modeling. Modeling of Large and Complex Systems. Maintainability Modeling. Availability Modeling. Safety Modeling. Markov Model Evaluation. Effectiveness Modeling. Support Analyses. Application Examples. Practical Design of Fault-Tolerant Systems. CARMS User's Guide. CARMS Model Library. CARMS Reference. Definitions and Acronyms. References. Index. About the Authors.
506 1 _aRestricted to subscribers or individual electronic text purchasers.
520 _a"Markov modeling has long been accepted as a fundamental and powerful technique for the fault tolerance analysis of mission-critical applications. However, the elaborate computations required have often made Markov modeling too time-consuming to be of practical use on these complex systems. With this hands-on tool, designers can use the Markov modeling technique to analyze safety, reliability, maintainability, and cost-effectiveness factors in the full range of complex systems in use today. Featuring ground-breaking simulation software and a comprehensive reference manual, MARKOV MODELING FOR RELIABILITY ANALYSIS helps system designers surmount the mathematical computations that have previously prevented effective reliability analysis. The text and software compose a valuable self-study tool that is complete with detailed explanations, examples, and a library of Markov models that can be used for experiments and as derivations for new simulation models. The book details how these analyses are conducted, while providing hands-on instruction on how to develop reliability models for the full range of system configurations. Computer-Aided Rate Modeling and Simulation (CARMS) software is an integrated modeling tool that includes a diagram-based environment for model setup, a spreadsheet like interface for data entry, an expert system link for automatic model construction, and an interactive graphic interface for displaying simulation results.".
530 _aAlso available in print.
538 _aMode of access: World Wide Web
588 _aDescription based on PDF viewed 12/21/2015.
650 0 _aComputer engineering.
650 0 _aReliability (Engineering)
_xMathematical models.
655 0 _aElectronic books.
695 _aAccuracy
695 _aAerospace electronics
695 _aAircraft
695 _aAircraft navigation
695 _aAnalytical models
695 _aApproximation methods
695 _aAssembly
695 _aAvailability
695 _aBibliographies
695 _aBiographies
695 _aBiological system modeling
695 _aCalculus
695 _aCentral Processing Unit
695 _aCircuit faults
695 _aComplexity theory
695 _aComputational modeling
695 _aConvolution
695 _aData models
695 _aDatabases
695 _aDistribution functions
695 _aDoppler radar
695 _aEquations
695 _aError analysis
695 _aExpert systems
695 _aFault detection
695 _aFault tolerance
695 _aFault tolerant systems
695 _aFault trees
695 _aHardware
695 _aIndexes
695 _aInjuries
695 _aIntegrated circuit modeling
695 _aLoad modeling
695 _aLoading
695 _aLogistics
695 _aMaintenance engineering
695 _aMarkov processes
695 _aMathematical model
695 _aMice
695 _aNoise
695 _aNumerical models
695 _aOperating systems
695 _aPositron emission tomography
695 _aPressing
695 _aProbabilistic logic
695 _aProbability
695 _aRandom variables
695 _aRead only memory
695 _aRedundancy
695 _aReliability
695 _aReliability engineering
695 _aSafety
695 _aSilicon
695 _aSoftware
695 _aSoftware reliability
695 _aSolid modeling
695 _aSteady-state
695 _aSystem analysis and design
695 _aSystem performance
695 _aTerminology
695 _aTesting
695 _aTires
695 _aVectors
695 _aWeapons
695 _aWeibull distribution
700 1 _aPukite, Paul.
710 2 _aJohn Wiley & Sons,
_epublisher.
710 2 _aIEEE Xplore (Online service),
_edistributor.
776 0 8 _iPrint version:
_z9780780334823
830 0 _aIEEE Press series on engineering of complex computer systems ;
_v2
856 4 2 _3Abstract with links to resource
_uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5263338
999 _c40096
_d40096