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...

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Bibliographic Details
Corporate Authors: SpringerLink Online service
Group Author: Kounev, Samuel; Kephart, Jeffrey O; Milenkoski, Aleksandar; Zhu, Xiaoyun
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.