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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) S. 187 - 193
Hauptverfasser:	Mattia, Gabriele Proietti, Beraldi, Roberto
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 21.03.2022
Schlagworte:	Conferences fog computing Pervasive computing Processor scheduling real-time Real-time systems Reinforcement learning Scheduling Smart cities
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!