Performance, Reliability and Availability Evaluation of Computational Systems
portes grátis
Performance, Reliability and Availability Evaluation of Computational Systems
Maciel, Paulo Romero Martins
Taylor & Francis Ltd
11/2024
1656
Mole
9781032326061
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
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
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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Computation;Computational Systems;Computer Engineering;Computing Systems
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
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
