Maciel | Performance, Reliability and Availability Evaluation of Computational Systems | Buch | 978-1-032-32577-4 | sack.de

Buch, Englisch, 1656 Seiten, Format (B × H): 167 mm x 247 mm, Gewicht: 2848 g

Maciel

Performance, Reliability and Availability Evaluation of Computational Systems


1. Auflage 2023
ISBN: 978-1-032-32577-4
Verlag: Taylor & Francis Ltd

Buch, Englisch, 1656 Seiten, Format (B × H): 167 mm x 247 mm, Gewicht: 2848 g

ISBN: 978-1-032-32577-4
Verlag: Taylor & Francis Ltd


This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects. The volumes focus on computing systems, although the methods may also be applied to other systems. The first volume covers Chapter 1 to Chapter 14, whose subtitle is ``Performance Modeling and Background". The second volume encompasses Chapter 15 to Chapter 25 and has the subtitle ``Reliability and Availability Modeling, Measuring and Workload, and Lifetime Data Analysis".



This text is helpful for computer performance professionals for supporting planning, design, configuring, and tuning the performance, reliability, and availability of computing systems. Such professionals may use these volumes to get acquainted with specific subjects by looking at the particular chapters. Many examples in the textbook on computing systems will help them understand the concepts covered in each chapter. The text may also be helpful for the instructor who teaches performance, reliability, and availability evaluation subjects. Many possible threads could be configured according to the interest of the audience and the duration of the course. Chapter 1 presents a good number of possible courses programs that could be organized using this text.

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Academic, Postgraduate, and Professional

Weitere Infos & Material


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


Paulo Romero Martins Maciel is Full Professor at Centro de Informática da Universidade Federal de Pernambuco (UFPE), Brazil.



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