Beiträge in Tagungsbänden:
N. TaheriNejad, P. Lewis, A. Jantsch, A. Rahmani, L. Esterle:
"Resource Constrained Self-Aware Cyber-Physical Systems (Tutorial)";
in: "2019 IEEE 4th International Workshops on Foundations and Applications of Self* Systems (FAS*W)",
IEEE,
Umea,
2019,
ISBN: 978-1-7281-2406-3,
S. 259
- 260.
Kurzfassung englisch:
The overlap of the two established fields of cyber-physical systems and self-aware computing systems constitutes a challenging class of systems that require autonomy and must satisfy multiple, possibly conflicting constraints (e.g., performance, timeliness, energy, reliability). Self-aware cyber-physical systems are situated in dynamic physical environments and constrained in their resources, they understand their own state and that of their environment. Based on that understanding, they are able to make appropriate decisions autonomously at runtime with high efficiency. In this tutorial, we will review the state of the art of this exciting domain.
"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1109/FAS-W.2019.00071
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.