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Keep it Flat (KiF): Resource Management in Integrated Cloud-Fog Networks

Authors:
Neam Farroukh
Mohamed Nassar
Shady Elbassuoni
Haidar Safa

Keywords: fog computing; resource management; security; latency; optimization.

Abstract:
Fog computing extends the cloud services and brings them to the edge of the network. By taking advantage of edge devices that have sufficient resources (i.e., storage, compute, and bandwidth), the cloud becomes closer to the edge. The fog has been proved as a promising solution for avoiding unbearable latency and network capacity saturation with the proliferation of Internet of Things (IoT) end-devices. Lately, researchers have investigated the impact of cloud-fog cooperation on the performance of the network in terms of latency, network capacity and security. While the cloud can handle heavy-weight delay-tolerant tasks, the fog becomes in charge of all light-weight delay-sensitive tasks. In such integrated networks, resource management becomes a key challenge that must be addressed effectively. In this paper, we design and study two different resource management strategies at the fog layer: a flat one versus a clustered one. Both strategies are formalized as optimization problems and constrained by minimum resource allocation requirements, as well as Quality of Service (QoS) and privacy requirements. The comparison of the two strategies shows the superiority of the flat approach in terms of overall performance and fog delay, while the clustered approach results in lower number of overall tasks being rejected.

Pages: 28 to 34

Copyright: Copyright (c) IARIA, 2021

Publication date: July 18, 2021

Published in: conference

ISSN: 2308-4219

ISBN: 978-1-61208-878-5

Location: Nice, France

Dates: from July 18, 2021 to July 22, 2021