On real-time scheduling in Fog computing: A Reinforcement Learning algorithm with application to smart cities

Fog Computing is today a wide used paradigm that allows to distribute the computation in a geographic area. This not only makes possible to implement time-critical applications but opens the study to a series of solutions which permit to smartly organise the traffic among a set of Fog nodes, which c...

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Bibliographic Details

Published in:	2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) pp. 187 - 193
Main Authors:	Mattia, Gabriele Proietti, Beraldi, Roberto
Format:	Conference Proceeding
Language:	English
Published:	IEEE 21.03.2022
Subjects:	Conferences fog computing Pervasive computing Processor scheduling real-time Real-time systems Reinforcement learning Scheduling Smart cities
Online Access:	Get full text
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