A Deep Q-Learning Framework for Enhanced QoE and Energy Optimization in Fog Computing
Fog computing, an evolution of cloud computing, has become increasingly popular for its ability to lessen the burden of such a centralized computing paradigm by distributing tasks generated by IoT across fog layers. Effectively managing real-time, delay-sensitive, and diverse IoT applications to enh...
| Main Authors: | Sumona, S.T., Sabbir Hasan, S., Tamzid, A.Y., Roy, P., Razzaque, M.A., Mahmud, Md Redowan |
|---|---|
| Format: | Conference Paper |
| Published: |
2024
|
| Online Access: | http://hdl.handle.net/20.500.11937/97523 |
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