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.

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.

Viewing alternatives

Look up in Google Scholar

Download history

Metrics

Public Attention

Altmetrics from Altmetric

Number of Citations

Citations from Dimensions

Item Actions

Export

About

CORE (COnnecting REpositories)

Recommendations