Performance, Reliability, Availability Evaluation of Computational - Reliability, Availability Modeling, Measuring, and Data Analysis

This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects. The second volume encompasses Chapter 15 to Chapter 25 and has the subtitle ``Reliability and Availability Modeling, Measuring and Workload, and Lifetime Data Analysis".

List of contents

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

About the author

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

Summary

This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects. The second volume encompasses Chapter 15 to Chapter 25 and has the subtitle ``Reliability and Availability Modeling, Measuring and Workload, and Lifetime Data Analysis".

Product details

• Authors: Paulo Romero Martins Maciel
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Paperback / Softback
• Released: 29.11.2024
• EAN: 9781032306421
• ISBN: 978-1-0-3230642-1
• No. of pages: 748
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; COMPUTERS / Computer Science, COMPUTERS / Computer Simulation, COMPUTERS / Programming / Games, computer science, COMPUTERS / Computer Engineering, Information technology: general issues, Maths for engineers, Mathematical modelling, Information technology: general topics, COMPUTERS / Data Science / Data Modeling & Design