Dependable Computing
Design and Assessment
- English
- PDF
- Available on iOS & Android
Dependable Computing
Design and Assessment
About this book
Dependable Computing
Covering dependability from software and hardware perspectives
Dependable Computing: Design and Assessment looks at both the software and hardware aspects of dependability.
This book:
- Provides an in-depth examination of dependability/fault tolerance topics
- Describes dependability taxonomy, and briefly contrasts classical techniques with their modern counterparts or extensions
- Walks up the system stack from the hardware logic via operating systems up to software applications with respect to how they are hardened for dependability
- Describes the use of measurement-based analysis of computing systems
- Illustrates technology through real-life applications
- Discusses security attacks and unique dependability requirements for emerging applications, e.g., smart electric power grids and cloud computing
- Finally, using critical societal applications such as autonomous vehicles, large-scale clouds, and engineering solutions for healthcare, the book illustrates the emerging challenges faced in making artificial intelligence (AI) and its applications dependable and trustworthy.
This book is suitable for those studying in the fields of computer engineering and computer science. Professionals who are working within the new reality to ensure dependable computing will find helpful information to support their efforts. With the support of practical case studies and use cases from both academia and real-world deployments, the book provides a journey of developments that include the impact of artificial intelligence and machine learning on this ever-growing field. This book offers a single compendium that spans the myriad areas in which dependability has been applied, providing theoretical concepts and applied knowledge with content that will excite a beginner, and rigor that will satisfy an expert. Accompanying the book is an online repository of problem sets and solutions, as well as slides for instructors, that span the chapters of the book.
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Information
Table of contents
- Cover
- Series Page
- Title Page
- Copyright Page
- Dedication Page
- Contents
- About the Authors
- Preface
- Acknowledgments
- About the Companion Website
- Chapter 1 Dependability Concepts and Taxonomy
- Chapter 2 Classical Dependability Techniques and Modern Computing Systems: Where and How Do They Meet?
- Chapter 3 Hardware Error Detection and Recovery Through Hardware-Implemented Techniques
- Chapter 4 Processor Level Error Detection and Recovery
- Chapter 5 Hardware Error Detection Through Software-Implemented Techniques
- Chapter 6 Software Error Detection and Recovery Through Software Analysis
- Chapter 7 Measurement-based Analysis of System Software: Operating System Failure Behavior
- Chapter 8 Reliable Networked and Distributed Systems
- Chapter 9 Checkpointing and Rollback Error Recovery
- Chapter 10 Checkpointing Large-Scale Systems
- Chapter 11 Internals of Fault Injection Techniques
- Chapter 12 Measurement-Based Analysis of Large-Scale Clusters: Methodology
- Chapter 13 Measurement-Based Analysis of Large Systems: Case Studies
- Chapter 14 The Future: Dependable and Trustworthy AI Systems
- Index
- EULA