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Self-aware Computing Systems

An Engineering Approach

  • Book
  • © 2016

Overview

Editors:
  1. Peter R. Lewis

    1. School of Engineering & Applied Science, Aston University, Birmingham, United Kingdom

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  2. Marco Platzner

    1. Department of Computer Science, Paderborn University, Paderborn, Germany

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  3. Bernhard Rinner

    1. Institute of Networked and Embedded Systems, Alpen-Adria-Universität Klagenfurt, Klagenfurt am Wörthersee, Austria

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  4. Jim Tørresen

    1. Department of Informatics, University of Oslo, Oslo, Norway

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  5. Xin Yao

    1. School of Computer Science, University of Birmingham, Birmingham, United Kingdom

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  • Self-aware computing systems autonomously adapt their behaviour in changing conditions
  • Authors and editors are leading researchers in this domain
  • Useful for researchers, professionals and graduate students in computer science and engineering

Part of the book series: Natural Computing Series (NCS)

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Table of contents (15 chapters)

  1. Front Matter

    Pages i-xxx
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  2. Self-aware Computing: Introduction and Motivation

    • Peter R. Lewis, Marco Platzner, Bernhard Rinner, Jim Tørresen, Xin Yao
    Pages 1-5

  3. Concepts and Fundamentals

    1. Front Matter

      Pages 7-8
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    2. Self-awareness and Self-expression: Inspiration from Psychology

      • Peter R. Lewis, Arjun Chandra, Kyrre Glette
      Pages 9-21

    3. Relationships to Other Concepts

      • Kyrre Glette, Peter R. Lewis, Arjun Chandra
      Pages 23-35

    4. Reference Architecture for Self-aware and Self-expressive Computing Systems

      • Arjun Chandra, Peter R. Lewis, Kyrre Glette, Stephan C. Stilkerich
      Pages 37-49

  4. Patterns and Techniques

    1. Front Matter

      Pages 51-52
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    2. Design Patterns and Primitives: Introduction of Components and Patterns for SACS

      • Tao Chen, Funmilade Faniyi, Rami Bahsoon
      Pages 53-78

    3. Knowledge Representation and Modelling: Structures and Trade-Offs

      • Leandro L. Minku, Lukas Esterle, Georg Nebehay, Renzhi Chen
      Pages 79-111

    4. Common Techniques for Self-awareness and Self-expression

      • Shuo Wang, Georg Nebehay, Lukas Esterle, Kristian Nymoen, Leandro L. Minku
      Pages 113-142

  5. Nodes and Networks

    1. Front Matter

      Pages 143-144
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    2. Self-aware Compute Nodes

      • Andreas Agne, Markus Happe, Achim Löosch, Christian Plessl, Marco Platzner
      Pages 145-165

    3. Self-adaptive Hardware Acceleration on a Heterogeneous Cluster

      • Xinyu Niu, Tim Todman, Wayne Luk
      Pages 167-192

    4. Flexible Protocol Stacks

      • Markus Happe, Ariane Trammell-Keller
      Pages 193-214

    5. Middleware Support for Self-aware Computing Systems

      • Jennifer Simonjan, Bernhard Dieber, Bernhard Rinner
      Pages 215-238

  6. Applications and Case Studies

    1. Front Matter

      Pages 239-240
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    2. Self-aware Hardware Acceleration of Financial Applications on a Heterogeneous Cluster

      • Maciej Kurek, Tobias Becker, Ce Guo, Stewart Denholm, Andreea-Ingrid Funie, Mark Salmon et al.
      Pages 241-260

    3. Self-aware Object Tracking in Multi-Camera Networks

      • Lukas Esterle, Jennifer Simonjan, Georg Nebehay, Roman Pflugfelder, Gustavo Fernández Domínguez, Bernhard Rinner
      Pages 261-277

    4. Self-awareness in Active Music Systems

      • Kristian Nymoen, Arjun Chandra, Jim Torresen
      Pages 279-296

    5. Conclusions and Outlook

      • Peter R. Lewis, Marco Platzner, Bernhard Rinner, Jim Torresen, Xin Yao
      Pages 297-300
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Keywords

About this book

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 them to reason about their behaviour. Self-aware computing systems will have the ability to utilise this knowledge to effectively and autonomously adapt and explain their behaviour, in changing conditions.

This book addresses these fundamental concepts from an engineering perspective, aiming at developing primitives for building systems and applications. It will be of value to researchers, professionals and graduate students in computer science and engineering.

Reviews

“This book describes Self-aware computing systems. … I recommend this book … . It is relatively well written and readable. All in all, I think it is a useful addition to a professional library, and I shall keep it around until a better one inevitably replaces it.” (Computing Reviews, September, 2017) 

Editors and Affiliations

  • School of Engineering & Applied Science, Aston University, Birmingham, United Kingdom

    Peter R. Lewis

  • Department of Computer Science, Paderborn University, Paderborn, Germany

    Marco Platzner

  • Institute of Networked and Embedded Systems, Alpen-Adria-Universität Klagenfurt, Klagenfurt am Wörthersee, Austria

    Bernhard Rinner

  • Department of Informatics, University of Oslo, Oslo, Norway

    Jim Tørresen

  • School of Computer Science, University of Birmingham, Birmingham, United Kingdom

    Xin Yao

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