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Adaptive Filtering as a Service for Smart City Applications

Abstract : Smart cities are a key factor in the consumption of materials and resources. As populations grow and resources become scarcer, the efficient usage of these limited goods becomes more important. Building on and integrating with a huge amount of data, the cities of the future are becoming a realization today. There are millions of sensors in place already, monitoring various things in metropolises. In the near future, these sensors will multiply until they can monitor everything from streetlights and trashcans to road conditions and energy consumption. In this context, effective strategies or solutions for refining data sets can play a key role. Based on these premises, we propose intelligent and adaptive filtering mechanisms as a service (FIlAAS) integrated in the VITAL-OS middleware and will show their feasibility and their effectiveness in the smart city context.
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Contributor : Nathalie Mitton Connect in order to contact the contributor
Submitted on : Thursday, June 8, 2017 - 2:30:28 PM
Last modification on : Thursday, January 20, 2022 - 5:26:44 PM
Long-term archiving on: : Saturday, September 9, 2017 - 1:42:18 PM


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  • HAL Id : hal-01482715, version 1



Riccardo Petrolo, Valeria Loscrì, Nathalie Mitton, Elisa Herrmann. Adaptive Filtering as a Service for Smart City Applications. 14th IEEE International Conference on Networking, Sensing and Control (ICNSC), May 2017, Cosenza, Italy. ⟨hal-01482715⟩



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