Nikolaou, S., Pezaros, D. and Anagnostopoulos, C. (2019) In-network Predictive Analytics in Edge Computing. In: 11th Annual Wireless Days Conference, Manchester, UK, 24-26 Apr 2019, ISBN 9781728101170 (doi: 10.1109/WD.2019.8734267)
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Abstract
Edge-centric predictive analytics methodologies use real-time model caching to significantly reduce the communication overhead. We investigate an approach of using different regression techniques at the edge as caching models. Our methodology reports on an edge-centric mechanism to automatically decide when to update the parameters of the cached models to a central location (data center). Through experimentation, we showcase the trade off between accuracy and communication overhead and conclude that for all the experimented regression models, a lower percentage of the cached models should be sent to the data center to significantly decrease the communication overhead.
| Item Type: | Conference Proceedings |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Anagnostopoulos, Dr Christos and Nikolaou, Mr Stefanos and Pezaros, Professor Dimitrios |
| Authors: | Nikolaou, S., Pezaros, D., and Anagnostopoulos, C. |
| College/School: | College of Science and Engineering > School of Computing Science |
| ISSN: | 2156-972X |
| ISBN: | 9781728101170 |
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