| Title |
DevOps for the Urban IoT |
| ID_Doc |
40766 |
| Authors |
Moore, J; Kortuem, G; Smith, A; Chowdhury, N; Cavero, J; Gooch, D |
| Title |
DevOps for the Urban IoT |
| Year |
2016 |
| Published |
|
| DOI |
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. |
| Author Keywords |
DevOps; Urban IoT; Smart City; Solar Energy; EV Mobility |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000383621200016 |
| WoS Category |
Computer Science, Theory & Methods; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Engineering |
| PDF |
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