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/Report/Conference proceedingChapter

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 languageEnglish
Title of host publicationSelf-Aware Computing Systems
PublisherSpringer
Pages237-275
Number of pages39
ISBN (Electronic)9783319474748
ISBN (Print)9783319474724
DOIs
Publication statusPublished - 21 Feb 2017

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    Giese, H., Vogel, T., Diaconescu, A., Götz, S., Bencomo, N., Geihs, K., Kounev, S., & Bellman, K. L. (2017). State of the art in architectures for self-aware computing systems. In Self-Aware Computing Systems (pp. 237-275). Springer. https://doi.org/10.1007/978-3-319-47474-8_8