State of the Art in Architectures for Self-aware Computing Systems

  • Holger Giese
  • Thomas Vogel
  • Ada Diaconescu
  • Sebastian Götz
  • Nelly Bencomo
  • Kurt Geihs
  • Samuel Kounev
  • Kirstie L. Bellman
Chapter

Abstract

In this chapter, we review the state of the art in self-aware computing systems with a particular focus on software architectures. Therefore, we compare existing approaches targeting computing systems with similar characteristics as self-aware systems to the architectural concepts for single and collective self-aware systems discussed in the previous chapters. These approaches are particularly reference architectures and architectural frameworks and languages. Based on this comparison, we discuss open challenges for architectures of self-aware computing systems.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Holger Giese
    • 1
  • Thomas Vogel
    • 1
  • Ada Diaconescu
    • 2
  • Sebastian Götz
    • 3
  • Nelly Bencomo
    • 4
  • Kurt Geihs
    • 5
  • Samuel Kounev
    • 6
  • Kirstie L. Bellman
    • 7
  1. 1.Hasso Plattner Institute for Software Systems Engineering at the University of PotsdamPotsdamGermany
  2. 2.Telécom ParisTech, Equipe S3, Department INFRESParisFrance
  3. 3.Tu DresdenDresdenGermany
  4. 4.Aston Institute for Systems AnalyticsAston UniversityBirminghamUK
  5. 5.University KasselKasselGermany
  6. 6.University of Würzburg, Department of Computer ScienceWürzburgGermany
  7. 7.Aerospace Integration Science Center, The Aerospace CorporationCaliforniaUSA

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