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An Ingestion and Analytics Architecture for IoT applied to Smart City Use Cases

Ta-Shma, Paula, Akbar, Adnan, Gerson-Golan, Guy, Hadash, Guy, Carrez, Francois and Moessner, Klaus (2017) An Ingestion and Analytics Architecture for IoT applied to Smart City Use Cases IEEE Internet of Things, 5 (2). pp. 765-774.

An Ingestion and Analytics Architecture for IoT applied to Smart City Use Cases.pdf - Accepted version Manuscript

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As sensors are adopted in almost all fields of life, the Internet of Things (IoT) is triggering a massive influx of data. We need efficient and scalable methods to process this data to gain valuable insight and take timely action. Existing approaches which support both batch processing (suitable for analysis of large historical data sets) and event processing (suitable for realtime analysis) are complex. We propose the hut architecture, a simple but scalable architecture for ingesting and analyzing IoT data, which uses historical data analysis to provide context for real-time analysis. We implement our architecture using open source components optimized for big data applications and extend them where needed. We demonstrate our solution on two real-world smart

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Ta-Shma, Paula
Gerson-Golan, Guy
Hadash, Guy
Date : 30 June 2017
DOI : 10.1109/JIOT.2017.2722378
Copyright Disclaimer : Copyright © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Uncontrolled Keywords : Big data; Complex event processing; Contextaware; Energy management; Ingestion; Internet of things; Machine learning; Smart cities; Spark; Transportation
Depositing User : Clive Harris
Date Deposited : 29 Jun 2017 13:14
Last Modified : 25 Jun 2018 12:41

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