EDITORS: Energy-aware Dynamic Task Offloading using Deep Reinforcement Transfer Learning in SDN-enabled Edge Nodes-Reference-Cited by-同舟云学术

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EDITORS: Energy-aware Dynamic Task Offloading using Deep Reinforcement Transfer Learning in SDN-enabled Edge Nodes

Published:2024-04 Issue: Volume:25 Page:101118
ISSN:2542-6605
Container-title:Internet of Things
language:en
Short-container-title:Internet of Things

Author:

Baker Thar^ORCID,Al Aghbari Zaher,Khedr Ahmed M.^ORCID,Ahmed Naveed^ORCID,Girija Shini

Publisher

Elsevier BV

Reference67 articles.

1. Dynamic task offloading in MEC-enabled IoT networks: A hybrid DDPG-d3qn approach;Hu,2021

2. A review of the current task offloading algorithms, strategies and approach in edge computing systems;Acheampong;Comput. Model. Eng. Sci.,2023

3. Computation offloading and resource allocation based on distributed deep learning and software defined mobile edge computing;Wang;Comput. Netw.,2022

4. Reinforcement-learning-based software-defined edge task allocation algorithm;Zhang;Electronics,2023

5. Joint optimization of delay and energy in partial offloading using dual-population replicator dynamics;Khoobkar;Expert Syst. Appl.,2023

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Efficient Pareto based approach for IoT task offloading on Fog–Cloud environments;Internet of Things;2024-10

2. A Review of Task Offloading Algorithms with Deep Reinforcement Learning;British Journal of Computer, Networking and Information Technology;2024-08-23

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