Optimizing low-power task scheduling for multiple users and servers in mobile edge computing by the MUMS framework

Author:

Li GuangxuORCID,Li JunkeORCID

Publisher

Elsevier BV

Reference46 articles.

1. A survey of energy optimization approaches for computational task offloading and resource allocation in MEC networks;Yang;Electronics,2023

2. Lyapunov-guided delay-aware energy efficient offloading in IIoT-MEC systems;Wu;IEEE Trans. Ind. Inf.,2023

3. Recent advances in collaborative scheduling of computing tasks in an edge computing paradigm;Chen;Sensors,2021

4. Deep reinforcement learning for energy-efficient computation offloading in mobile-edge computing;Zhou;IEEE Internet Things J.,2022

5. Joint computation offloading and task caching for multi-user and multi-task MEC systems: reinforcement learning-based algorithms;Elgendy;Wireless Network,2021

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