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.
By:
Paulo Romero Martins Maciel
Imprint: Taylor & Francis Ltd
Country of Publication: United Kingdom
Dimensions:
Height: 280mm,
Width: 210mm,
Weight: 3.215kg
ISBN: 9781032325774
ISBN 10: 1032325771
Pages: 1656
Publication Date: 06 April 2023
Audience:
College/higher education
,
Professional and scholarly
,
Primary
,
Undergraduate
Format: Mixed media product
Publisher's Status: Active
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 Informatica da Universidade Federal de Pernambuco (UFPE), Brazil.
