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DevOps for the Urban IoT

Moore, John; Kortuem, Gerd; Smith, Andrew; Chowdhury, Niaz; Cavero, Jose and Gooch, Daniel (2016). DevOps for the Urban IoT. In: Proceedings of the Second International Conference on IoT in Urban Space - Urb-IoT '16, ACM, New York, NY, pp. 78–81.

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DOI (Digital Object Identifier) Link: https://doi.org/10.1145/2962735.2962747
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Abstract

Choosing the right technologies to build an urban-scale IoT system can be challenging. There is often a focus on low-level architectural details such as the scalability of message handling. In our experience building an IoT information system requires a high-level holistic approach that mixes traditional data collection from vendor-specific cloud backends, together with data collected directly from embedded hardware and mobile devices. Supporting this heterogeneous environment can prove challenging and lead to complex systems that are difficult to develop and deploy in a timely fashion. In this paper we describe how we address these challenges by proposing a three-tiered DevOps model which we used to build an information system that is capable of providing real-time analytics of Electric Vehicle (EV) mobility usage and management within a smart city project.

Item Type: Conference or Workshop Item
Copyright Holders: 2016 ACM
ISBN: 1-4503-4204-3, 978-1-4503-4204-9
Project Funding Details:
Funded Project NameProject IDFunding Body
MK:SMART, an integrated innovation and training programme leveraging large-scale city data to drive economic growth (Q-13-037-EM)H04HEFCE
Keywords: DevOps; urban IoT; smart city; solar energy; EV mobility
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Item ID: 47701
Depositing User: Daniel Gooch
Date Deposited: 09 Nov 2016 11:47
Last Modified: 09 Nov 2016 14:38
URI: http://oro.open.ac.uk/id/eprint/47701
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