@inproceedings {pub4241,
	title = {Reducing IoT Bandwidth Requirements by Fog-based Distributed Hash Tables},
	author = {Ahmad Rabay{\textquoteright}a AND Pascal Kudla AND Lukas Kubitza AND Kalman Gy{\"o}rgy Graffi AND Michael Sch{\"o}ttner},
	year = {2020},
	month = {October},
	abstract = {Abstract{\textemdash}Internet-of-Things (IoT) devices often rely on cloud services for computations and data management. As the number of IoT devices is growing fast, the Internet connection to the cloud data-center can be become a bottleneck regarding bandwidth and latency. Fog computing addresses this challenge by performing cloud services closer to the edge through a network of locally close {\textquoteright}cloudlets{\textquoteright}. We propose a peer-to-peer (p2p) fog model allowing fog-nodes to cooperate and reduce thus the traffic at the cloud and the system as a whole. In this paper we evaluate three distributed hash tables, namely Pastry, Chord and CAN as alternatives for implementing the fog network. Simulation results show that Pastry offers much better results in terms of bandwidth throughput compared to the alternative non-cooperative fog computing, Chord fog, and CAN fog models. The overall reduction in bandwidth requirements reflect as well to reduction in costs for the cloud provider.},
	publisher = {IEEE},
	booktitle = {4th Conference on Cloud and Internet of Things (CIoT) },
	city = {Niteroi, Brazil, Brazil},
	pages = {1--8}
}