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.

Self Aware Computing Systems

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 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 and Case Studies, and Outlook. Part I offers an introduction that defines self-aware computing systems from multiple perspectives, and establishes a formal definition, a taxonomy and a set of reference scenarios that help to unify the remaining chapters. Next, Part II explores architectures for self-aware computing systems, such as generic concepts and notations that allow a wide range of self-aware system architectures to be described and compared with both isolated and interacting systems. It also reviews the current state of reference architectures, architectural frameworks, and languages for self-aware systems. Part III focuses on methods and algorithms for self-aware computing systems by addressing issues pertaining to system design, like modeling, synthesis and verification. It also examines topics such as adaptation, benchmarks and metrics. Part IV then presents applications and case studies in various domains including cloud computing, data centers, cyber-physical systems, and the degree to which self-aware computing approaches have been adopted within those domains. Lastly, Part V surveys open challenges and future research directions for self-aware computing systems. It can be used as a handbook for professionals and researchers working in areas related to self-aware computing, and can also serve as an advanced textbook for lecturers and postgraduate students studying subjects like advanced software engineering, autonomic computing, self-adaptive systems, and data-center resource management. Each chapter is largely self-contained, and offers plenty of references for anyone wishing to pursue the topic more deeply.

More Books:

Self-Aware Computing Systems
Language: en
Pages: 722
Authors: Samuel Kounev, Jeffrey O. Kephart, Aleksandar Milenkoski, Xiaoyun Zhu
Categories: Computers
Type: BOOK - Published: 2017-01-23 - Publisher: Springer

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
Self-aware Computing Systems
Language: en
Pages: 324
Authors: Peter R. Lewis, Marco Platzner, Bernhard Rinner, Jim Tørresen, Xin Yao
Categories: Computers
Type: BOOK - Published: 2016-07-28 - Publisher: Springer

Taking inspiration from self-awareness in humans, this book introduces the new notion of computational self-awareness as a fundamental concept for designing and operating computing systems. The basic ability of such self-aware computing systems is to collect information about their state and progress, learning and maintaining models containing knowledge that enables
Fog Computing in the Internet of Things
Language: en
Pages: 172
Authors: Amir M. Rahmani, Pasi Liljeberg, Jürgo-Sören Preden, Axel Jantsch
Categories: Technology & Engineering
Type: BOOK - Published: 2017-06-29 - Publisher: Springer

This book describes state-of-the-art approaches to Fog Computing, including the background of innovations achieved in recent years. Coverage includes various aspects of fog computing architectures for Internet of Things, driving reasons, variations and case studies. The authors discuss in detail key topics, such as meeting low latency and real-time requirements
An Introduction to Self-adaptive Systems
Language: en
Pages: 296
Authors: Danny Weyns
Categories: Technology & Engineering
Type: BOOK - Published: 2021-02-01 - Publisher: John Wiley & Sons

A concise and practical introduction to the foundations and engineering principles of self-adaptation Though it has recently gained significant momentum, the topic of self-adaptation remains largely under-addressed in academic and technical literature. This book changes that. Using a systematic and holistic approach, An Introduction to Self-adaptive Systems: A Contemporary Software
Set Phasers to Teach!
Language: en
Pages: 236
Authors: Stefan Rabitsch, Martin Gabriel, Wilfried Elmenreich, John N.A. Brown
Categories: Education
Type: BOOK - Published: 2018-07-10 - Publisher: Springer

For 50 years, Star Trek has been an inspiration to its fans around the world, helping them to dream of a better future. This inspiration has entered our culture and helped to shape much of the technology of the early 21st Century. The contributors to this volume are researchers and

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