Poonam Yadav
Providing occupancy as a service with databox
Yadav, Poonam; Moore, John; Li, Qi; Mortier, Richard; Brown, Anthony; Crabtree, Andy; Greenhalgh, Chris; McAuley, Derek; Amar, Yousef; Shamsabadi, Ali Shahin; Haddadi, Hamed
Authors
John Moore
Qi Li
Richard Mortier
Anthony Brown
Professor ANDY CRABTREE andy.crabtree@nottingham.ac.uk
Professor of Computer Science
CHRIS GREENHALGH Chris.Greenhalgh@nottingham.ac.uk
Professor of Computer Science
DEREK MCAULEY derek.mcauley@nottingham.ac.uk
Professor of Digital Economy
Yousef Amar
Ali Shahin Shamsabadi
Hamed Haddadi
Abstract
© 2018 Association for Computing Machinery. Occupancy modelling for efficient energy management of indoor spaces has gained significant recent attention. Unfortunately, many such models rely on copying sensor data to the cloud for third-party services to process, creating risks of privacy breach. Such matters have become particularly pertinent for companies handling data of EU citizens due to provisions of the General Data Protection Regulation (GDPR). In this paper we present an implementation of “Occupancy-as-a-Service” (OaaS) at the edge, inverting the usual model: rather than ship data to the cloud to be processed, we retain data where it is generated and compute on it locally. This effectively avoids many risks associated with moving personal data to the cloud, and increases the agency of data subjects in managing their personal data. We describe the Databox architecture, its core components, and the OaaS functionality. As well as improving the privacy of the occupants, our approach allows us to offer occupancy data to other applications running on Databox, at a granularity that is not constrained by network usage, storage or processing restrictions imposed by third-party services, but is under data subject control.
Citation
Yadav, P., Moore, J., Li, Q., Mortier, R., Brown, A., Crabtree, A., …Haddadi, H. (2018). Providing occupancy as a service with databox. In Proceedings of the 1st ACM International Workshop on Smart Cities and Fog Computing (29-34). https://doi.org/10.1145/3277893.3277894
Conference Name | CitiFog'18 1st ACM International Workshop |
---|---|
Conference Location | Shenzhen, China |
Start Date | Nov 4, 2018 |
End Date | Nov 4, 2018 |
Acceptance Date | Sep 20, 2018 |
Publication Date | Nov 4, 2018 |
Deposit Date | Dec 19, 2018 |
Publicly Available Date | Dec 20, 2018 |
Publisher | Association for Computing Machinery (ACM) |
Pages | 29-34 |
Book Title | Proceedings of the 1st ACM International Workshop on Smart Cities and Fog Computing |
ISBN | 9781450360517 |
DOI | https://doi.org/10.1145/3277893.3277894 |
Public URL | https://nottingham-repository.worktribe.com/output/1425041 |
Publisher URL | https://dl.acm.org/citation.cfm?doid=3277893.3277894 |
Additional Information | Published in: CitiFog'18 Proceedings of the 1st ACM International Workshop on Smart Cities and Fog Computing. ACM New York, NY, USA ©2018. ISBN: 978-1-4503-6051-7. |
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