Fog Computing: Enabling the Management and Orchestration of Smart City Applications in 5G Networks.

José Santos,Tim Wauters,Filip De Turck,Bruno Volckaert

doi:10.3390/e20010004

Abstract

Fog computing extends the cloud computing paradigm by placing resources close to the edges of the network to deal with the upcoming growth of connected devices. Smart city applications, such as health monitoring and predictive maintenance, will introduce a new set of stringent requirements, such as low latency, since resources can be requested on-demand simultaneously by multiple devices at different locations. It is then necessary to adapt existing network technologies to future needs and design new architectural concepts to help meet these strict requirements. This article proposes a fog computing framework enabling autonomous management and orchestration functionalities in 5G-enabled smart cities. Our approach follows the guidelines of the European Telecommunications Standards Institute (ETSI) NFV MANO architecture extending it with additional software components. The contribution of our work is its fully-integrated fog node management system alongside the foreseen application layer Peer-to-Peer (P2P) fog protocol based on the Open Shortest Path First (OSPF) routing protocol for the exchange of application service provisioning information between fog nodes. Evaluations of an anomaly detection use case based on an air monitoring application are presented. Our results show that the proposed framework achieves a substantial reduction in network bandwidth usage and in latency when compared to centralized cloud solutions.

Highlights

In recent years, the Internet of Things (IoT) has transformed objects of everyday life into communicating devices
PM10 values above 30 ppm collected by both cars are marked as outliers by both algorithms, which indicates that these samples can be considered as unusual measurements
Fog computing has been introduced to deal with the growing amount of connected devices in the upcoming years, by placing computational resources on the edges of the network

Summary

Introduction

The Internet of Things (IoT) has transformed objects of everyday life into communicating devices. The fog computing paradigm, which places resources on the edges of the network, extends the cloud computing paradigm to deal with the eminent growth of connected devices [3]. The so-called Fog Nodes (FNs) are cloud entities with a small amount of computational resources distributed across the network that must be able to communicate with a different variety of devices and offer them solutions to gather, process and filter data [3,5].

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