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Moore, John; Kortuem, Gerd; Smith, Andrew; Chowdhury, Niaz; Cavero, Jose and Gooch, Daniel
(2016).
DOI: https://doi.org/10.1145/2962735.2962747
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.
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About
- Item ORO ID
- 47701
- Item Type
- Conference or Workshop Item
- ISBN
- 1-4503-4204-3, 978-1-4503-4204-9
- Project Funding Details
-
Funded Project Name Project ID Funding Body MK:SMART, an integrated innovation and training programme leveraging large-scale city data to drive economic growth (Q-13-037-EM) H04 HEFCE - Keywords
- DevOps; urban IoT; smart city; solar energy; EV mobility
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) - Copyright Holders
- © 2016 ACM
- Depositing User
- Daniel Gooch