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Self-aware computing systems: related concepts and research areas

  • Javier Cámara*
  • , Kirstie L. Bellman
  • , Jeffrey O. Kephart
  • , Marco Autili
  • , Nelly Bencomo
  • , Ada Diaconescu
  • , Holger Giese
  • , Sebastian Götz
  • , Paola Inverardi
  • , Samuel Kounev
  • , Massimo Tivoli
  • *Corresponding author for this work
  • Carnegie Mellon University
  • The Aerospace Corporation
  • IBM T.J. Watson Research Center
  • University of L'Aquila
  • Telecom ParisTech
  • Hasso-Plattner-Institut fur Softwaresystemtechnik GmbH
  • University of Technology Dresden
  • Julius-Maximilians-Universität Würzburg

Research output: Chapter in Book/Published conference output › Chapter

Abstract

Self-aware computing systems exhibit a number of characteristics (e.g., autonomy, social ability, and proactivity) which have already been studied in different research areas, such as artificial intelligence, organic computing, or autonomic and self-adaptive systems. This chapter provides an overview of strongly related concepts and areas of study from the perspective of self-aware computing systems.

Original languageEnglish
Title of host publicationSelf-Aware Computing Systems
PublisherSpringer
Pages17-49
Number of pages33
ISBN (Electronic)97833194747482
ISBN (Print)9783319474724
DOIs
Publication statusPublished - 1 Jan 2017

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