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Evaluation of IoT stream processing at edge computing layer for semantic data enrichment

Xhafa, Fatos, Kilic, Burak and Krause, Paul (2019) Evaluation of IoT stream processing at edge computing layer for semantic data enrichment Future Generation Computer Systems, 105. pp. 730-736.

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Abstract

The fast development of Internet of Things (IoT) computing and technologies has prompted a decentralization of Cloud-based systems. Indeed, sending all the information from IoT devices directly to the Cloud is not a feasible option for many applications with demanding requirements on real-time response, low latency, energy-aware processing and security. Such decentralization has led in a few years to the proliferation of new computing layers between Cloud and IoT, known as Edge computing layer, which comprises of small computing devices (e.g. Raspberry Pi) to larger computing nodes such as Gateways, Road Side Units, Mini Clouds, MEC Servers, Fog nodes, etc. In this paper, we study the challenges of processing an IoT data stream in an Edge computing layer. By using a real life data stream set arising from a car data stream as well as a real infrastructure using Raspberry Pi and Node-Red server, we highlight the complexities of achieving real time requirements of applications based on IoT stream processing.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Computer Science
Authors :
NameEmailORCID
Xhafa, Fatos
Kilic, Burak
Krause, PaulP.Krause@surrey.ac.uk
Date : 31 December 2019
DOI : doi.10.1016/j.future.2019.12.031
Copyright Disclaimer : © 2019 Elsevier B.V. All rights reserved.
Uncontrolled Keywords : IoT computingEdge computingData stream processingAnomaly detectionData stream rate
Depositing User : James Marshall
Date Deposited : 28 Jan 2020 10:25
Last Modified : 28 Jan 2020 10:25
URI: http://epubs.surrey.ac.uk/id/eprint/853442

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