Abstract On the fly deployment of fog nodes near users provides the flexibility of pushing services anywhere and whenever needed. Nevertheless, taking a real-life scenario, the cloud might limit the number of fogs to place for minimizing the complexity of monitoring a large number of fogs and cost for volunteers that do not offer their […]
Read MoreReinforcement R-learning Model for Time Scheduling of On-demand Fog Placement
- 25 June 2021
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