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S. Ali, F. Damiani, S. Dustdar, M. Sanseverino, M. Viroli, D. Weyns:
"Big Data from the Cloud to the Edge: The aggregate computing solution (Position Paper)";
Talk: 2nd International Workshop on Software Architecture Challenges in Big Data (SACBD 2019) at ECSA 2019, Paris, France; 2019-09-09 - 2019-09-13; in: "13th European Conference on Software Architecture, ECSA 2019, Proceedings Volume 2", L. Duchien, A. Koziolek (Martens), R. Mirandola, E. Navarro Martinez, C. Quinton, R. Scandariato, P. Scandurra, C. Trubiani, D. Weyns (ed.); ACM, (2019), ISBN: 978-1-4503-7142-1; 177 - 180.

We advocate a novel concept of dependable intelligent edge systems
(DIES) i.e., the edge systems ensuring a high degree of dependability
(e.g., security, safety, and robustness) and autonomy because of their
applications in critical domains. Building DIES entail a paradigm
shift in architectures for acquiring, storing, and processing potentially large amounts of complex data: data management is placed
at the edge between the data sources and local processing entities,
with loose coupling to storage and processing services located in
the cloud. As such, the literal definition of edge and intelligence is
adopted, i.e., the ability to acquire and apply knowledge and skills
is shifted towards the edge of the network, outside the cloud infrastructure. This paradigm shift offers flexibility, auto configuration, and auto diagnosis, but also introduces novel challenges.

Adaptation, Dependability, Formal methods

http://dx.doi.org/10.1145/33449483344988