This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects. This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects.
This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects. This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Paulo Romero Martins Maciel is Full Professor at Centro de Informática da Universidade Federal de Pernambuco (UFPE), Brazil.
Inhaltsangabe
Chapter 1 Introduction PART I Fundamental Concepts Chapter 2 Introduction to Probability Chapter 3 Exploratory Data Analysis Chapter 4 Introduction to Random Variables Chapter 5 Some Important Random Variables Chapter 6 Statistical Inference and Data Fitting Chapter 7 Data Scaling, Distances and Clustering PART II Performance Modeling Chapter 8 Operational Analysis Chapter 9 Discrete Time Markov Chain Chapter 10 Continuous Time Markov Chain Chapter 11 Basic Queueing Models Chapter 12 Petri Nets Chapter 13 Stochastic Petri Nets Chapter 14 Stochastic Simulation PART III Reliability and AvailabilityModeling Chapter 15 Fundamentals of Dependability Chapter 16 Redundancy Chapter 17 Reliability Block Diagram Chapter 18 Fault Tree Chapter 19 CombinatorialModel Analysis Chapter 20 Modeling Availability, Reliability and Capacity with CTMC Chapter 21 Modeling Availability, Reliability and Capacity with SPN PART IV Measuring and Data Analysis Chapter 22 PerformanceMeasuring Chapter 23 Workload Characterization Chapter 24 Life Time Data Analysis Chapter 25 Fault Injection and Failure Monitoring Appendix A Whetsone Appendix B Linpack¿Bench Appendix C Livermore Loops Appendix D MMP - CTMC Trace Generator
Chapter 1 Introduction PART I Fundamental Concepts Chapter 2 Introduction to Probability Chapter 3 Exploratory Data Analysis Chapter 4 Introduction to Random Variables Chapter 5 Some Important Random Variables Chapter 6 Statistical Inference and Data Fitting Chapter 7 Data Scaling, Distances and Clustering PART II Performance Modeling Chapter 8 Operational Analysis Chapter 9 Discrete Time Markov Chain Chapter 10 Continuous Time Markov Chain Chapter 11 Basic Queueing Models Chapter 12 Petri Nets Chapter 13 Stochastic Petri Nets Chapter 14 Stochastic Simulation PART III Reliability and AvailabilityModeling Chapter 15 Fundamentals of Dependability Chapter 16 Redundancy Chapter 17 Reliability Block Diagram Chapter 18 Fault Tree Chapter 19 CombinatorialModel Analysis Chapter 20 Modeling Availability, Reliability and Capacity with CTMC Chapter 21 Modeling Availability, Reliability and Capacity with SPN PART IV Measuring and Data Analysis Chapter 22 PerformanceMeasuring Chapter 23 Workload Characterization Chapter 24 Life Time Data Analysis Chapter 25 Fault Injection and Failure Monitoring Appendix A Whetsone Appendix B Linpack¿Bench Appendix C Livermore Loops Appendix D MMP - CTMC Trace Generator
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