Self-Aware Computing Systems /
This book provides formal and informal definitions and taxonomies for self-aware computing systems, and explains how self-aware computing relates to many existing subfields of computer science, especially software engineering. It describes architectures and algorithms for self-aware systems as well...
Saved in:
Corporate Authors: | |
---|---|
Group Author: | ; ; ; |
Published: |
Springer International Publishing : Imprint: Springer,
|
Publisher Address: | Cham : |
Publication Dates: | 2017. |
Literature type: | eBook |
Language: | English |
Subjects: | |
Online Access: |
http://dx.doi.org/10.1007/978-3-319-47474-8 |
Summary: |
This book provides formal and informal definitions and taxonomies for self-aware computing systems, and explains how self-aware computing relates to many existing subfields of computer science, especially software engineering. It describes architectures and algorithms for self-aware systems as well as the benefits and pitfalls of self-awareness, and reviews much of the latest relevant research across a wide array of disciplines, including open research challenges. The chapters of this book are organized into five parts: Introduction, System Architectures, Methods and Algorithms, Applications |
Carrier Form: | 1 online resource (XVIII, 722 pages) : illustrations |
ISBN: | 9783319474748 |
Index Number: | QA76 |
CLC: | TP311.5 |
Contents: | Part I Introduction -- Part II System Architectures -- Part III Methods and Algorithms -- Part IV Applications and Case Studies -- Part V Outlook. |