Title: A study on fog computing architectures and energy consumption approaches regarding QoS requirements

Authors: Amel Ksentini; Maha Jebalia; Sami Tabbane

Addresses: Higher School of Communications of Tunis, Sup'Com, MEDIATRON, University of Carthage Ariana, Rte de Raoued Km 3,5 - 2083, Ariana, Tunis, Tunisia ' Higher School of Communications of Tunis, Sup'Com, MEDIATRON, University of Carthage Ariana, Rte de Raoued Km 3,5 - 2083, Ariana, Tunis, Tunisia ' Higher School of Communications of Tunis, Sup'Com, MEDIATRON, University of Carthage Ariana, Rte de Raoued Km 3,5 - 2083, Ariana, Tunis, Tunisia

Abstract: In the Internet of Things (IoT) paradigm, data is gathered for treatment from locals, machines, vehicles, etc. Cloud computing is providing suitable hardware and software for data processing. Thus, the integration of IoT with cloud capabilities offers several benefits for many applications. However, challenges persist for some use-cases like delay-sensitive services due to the huge amount of information collected by IoT devices and to be processed by cloud servers. Fog computing is expected to overcome several limits and challenges in cloud computing concerning the Quality of Service (QoS) requirements like latency, bandwidth and location awareness. Nevertheless, researchers still have to deal with several issues namely the architectural level and the energetic aspect. In this paper, we investigate fog system architectures and energy consumption in literature, while considering QoS requirements in the synthesis. A system model is then introduced with a potential solution for QoS management for fog computing environment.

Keywords: fog computing; IoT; architecture; QoS; energy consumption; delay-sensitivity; real-time processing; application-oriented architecture; management-oriented architecture; resource management; cloud computing.

DOI: 10.1504/IJGUC.2020.107613

International Journal of Grid and Utility Computing, 2020 Vol.11 No.3, pp.302 - 314

Received: 09 Nov 2018
Accepted: 19 Mar 2019
Published online: 02 Jun 2020 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article