LEADER 05777nam 2200673Ia 450 001 9910145962103321 005 20200520144314.0 010 $a9786612113796 010 $a9781282113794 010 $a1282113798 010 $a9780470455401 010 $a0470455403 010 $a9780470455388 010 $a0470455381 024 7 $a10.1002/9780470455401 035 $a(CKB)1000000000719437 035 $a(EBL)427561 035 $a(SSID)ssj0000225974 035 $a(PQKBManifestationID)11174102 035 $a(PQKBTitleCode)TC0000225974 035 $a(PQKBWorkID)10233343 035 $a(PQKB)11567303 035 $a(MiAaPQ)EBC427561 035 $a(CaBNVSL)mat05361030 035 $a(IDAMS)0b0000648117884a 035 $a(IEEE)5361030 035 $a(OCoLC)413003447 035 $a(PPN)266064744 035 $a(Perlego)2773301 035 $a(EXLCZ)991000000000719437 100 $a20080918d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aPractical system reliability 210 $aPiscataway, NJ $cIEEE Press ;$aHoboken, N.J. $cWiley$dc2009 215 $a1 online resource (303 p.) 300 $aDescription based upon print version of record. 311 08$a9780470408605 311 08$a047040860X 320 $aIncludes bibliographical references (p. 265-277) and index. 327 $aPreface -- Acknowledgments -- 1 Introduction -- 2 System Availability -- 2.1 Availability, Service and Elements -- 2.2 Classical View -- 2.3 Customers' View -- 2.4 Standards View -- 3 Conceptual Model of Reliability and Availability -- 3.1 Concept of Highly Available Systems -- 3.2 Conceptual Model of System Availability -- 3.3 Failures -- 3.4 Outage Resolution -- 3.5 Downtime Budgets -- 4 Why Availability Varies Between Customers -- 4.1 Causes of Variation in Outage Event Reporting -- 4.2 Causes of Variation in Outage Duration -- 5 Modeling Availability -- 5.1 Overview of Modeling Techniques -- 5.2 Modeling Definitions -- 5.3 Practical Modeling -- 5.4 Widget Example -- 5.5 Alignment with Industry Standards -- 6 Estimating Parameters and Availability from Field Data -- 6.1 Self-Maintaining Customers -- 6.2 Analyzing Field Outage Data -- 6.3 Analyzing Performance and Alarm Data -- 6.4 Coverage Factor and Failure Rate -- 6.5 Uncovered Failure Recovery Time -- 6.6 Covered Failure Detection and Recovery Time -- 7 Estimating Input Parameters from Lab Data -- 7.1 Hardware Failure Rate -- 7.2 Software Failure Rate -- 7.3 Coverage Factors -- 7.4 Timing Parameters -- 7.5 System-Level Parameters -- 8 Estimating Input Parameters in the Architecture/Design Stage -- 8.1 Hardware Parameters -- 8.2 System-Level Parameters -- 8.3 Sensitivity Analysis -- 9 Prediction Accuracy -- 9.1 How Much Field Data Is Enough? -- 9.2 How Does One Measure Sampling and Prediction Errors? -- 9.3 What Causes Prediction Errors? -- 10 Connecting the Dots -- 10.1 Set Availability Requirements -- 10.2 Incorporate Architectural and Design Techniques -- 10.3 Modeling to Verify Feasibility -- 10.4 Testing -- 10.5 Update Availability Prediction -- 10.6 Periodic Field Validation and Model Update -- 10.7 Building an Availability Roadmap -- 10.8 Reliability Report -- 11 Summary -- Appendix A System Reliability Report outline -- 1 Executive Summary -- 2 Reliability Requirements -- 3 Unplanned Downtime Model and Results. 327 $aAnnex A Reliability Definitions -- Annex B References -- Annex C Markov Model State-Transition Diagrams -- Appendix B Reliability and Availability Theory -- 1 Reliability and Availability Definitions -- 2 Probability Distributions in Reliability Evaluation -- 3 Estimation of Confidence Intervals -- Appendix C Software Reliability Growth Models -- 1 Software Characteristic Models -- 2 Nonhomogeneous Poisson Process Models -- Appendix D Acronyms and Abbreviations -- Appendix E Bibliography -- Index -- About the Authors. 330 $aLearn how to model, predict, and manage system reliability/availability throughout the development life cycle Written by a panel of authors with a wealth of industry experience, the methods and concepts presented here give readers a solid understanding of modeling and managing system and software availability and reliability through the development of real applications and products. The modeling and prediction techniques and tools are customer-focused and data-driven, and are also aligned with industry standards (Telcordia, TL 9000, ISO, etc.). Readers will get a clear understanding about what real-world reliability and availability mean through step-by-step discussions of: . System availability. Conceptual model of reliability and availability. Why availability varies between customers. Modeling availability. Estimating parameters and availability from field data. Estimating input parameters from laboratory data. Estimating input parameters in the architecture/design stage. Prediction accuracy. Connecting the dots This book can be used by system architects, engineers, and developers to better understand and manage the reliability/availability of their products; quality engineers to grasp how software and hardware quality relate to system availability; and engineering students as part of a short course on system availability and software reliability. 606 $aTelecommunication systems$xReliability 606 $aTelecommunication 615 0$aTelecommunication systems$xReliability. 615 0$aTelecommunication. 676 $a620.00452 700 $aBauer$b Eric$0479708 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910145962103321 996 $aPractical system reliability$91887061 997 $aUNINA