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

doi:10.1007/978-3-319-47474-8_8

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

^*Corresponding author for this work

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

Original language	English
Title of host publication	Self-Aware Computing Systems
Publisher	Springer
Pages	237-275
Number of pages	39
ISBN (Electronic)	9783319474748
ISBN (Print)	9783319474724
DOIs	https://doi.org/10.1007/978-3-319-47474-8_8
Publication status	Published - 21 Feb 2017

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AU - Geihs, Kurt

AU - Kounev, Samuel

AU - Bellman, Kirstie L.

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State of the art in architectures for self-aware computing systems

Abstract

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