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V. Karagiannis, S. Schulte, J. Leitao, N. Preguica:
"Enabling Fog Computing using Self-Organizing Compute Nodes";
Talk: IEEE 3rd International Conference on Fog and Edge Computing (ICFEC 2019), Larnaca, Cyprus; 2019-05-14 - 2019-05-17; in: "IEEE 3rd International Conference on Fog and Edge Computing (ICFEC 2019) Proceedings", IEEE, CFP19K56-ART (2019), ISBN: 978-1-7281-2365-3; 1 - 10.

The emergence of fog computing has led to the design of multi-layer fog computing models which are organized hierarchically. These models commonly dictate the hierarchical structure to all the participating compute nodes. However, organizing the compute nodes by adding customized connections that do not abide by the hierarchical approach, may result in improved performance due to the network´s properties i.e., latency or bandwidth between the nodes. For this reason, in this paper we propose an alternative to the hierarchical approach, which is the self-organizing compute nodes. These nodes organize themselves into a flat model which leverages on the network´s properties to provide improved performance. The results of the evaluation show that this approach reduces bandwidth utilization (~30%) by using optimized messaging instead of direct messaging. Furthermore, we show that following a flat model, enables the design of mechanisms for fault tolerance which has been mostly neglected in existing hierarchical models

http://dx.doi.org/10.1109/CFEC.2019.8733150

Project Head Wolfgang Kastner:
FORA