A Review of the Current Task Offloading Algorithms, Strategies and Approach in Edge Computing Systems-Reference-Cited by-同舟云学术

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A Review of the Current Task Offloading Algorithms, Strategies and Approach in Edge Computing Systems

Published:2023 Issue:1 Volume:134 Page:35-88
ISSN:1526-1506
Container-title:Computer Modeling in Engineering & Sciences
language:en
Short-container-title:

Author:

Acheampong Abednego,Zhang Yiwen,Xu Xiaolong,Appiah Kumah Daniel

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Computer Science Applications,Modeling and Simulation,Software

Link

https://www.techscience.com/CMES/v134n1/49434/pdf

Reference145 articles.

1. 6G-Enabled short-term forecasting for large-scale traffic flow in massive IoT based on time-aware locality-sensitive hashing;Wang;IEEE Internet of Things Journal,2021

2. Dataflow management in the Internet of Things: Sensing, control, and security;Wei;Tsinghua Science and Technology,2021

3. A survey of computation offloading in edge computing;Zheng,2020

4. Task offloading in edge and cloud computing: A survey on mathematical, artificial intelligence and control theory solutions;Saeik;Computer Networks,2021

Cited by 10 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. Reinforcement learning-based computation offloading in edge computing: Principles, methods, challenges;Alexandria Engineering Journal;2024-12

2. A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches;Computer Science Review;2024-08

3. An edge intelligence-based model deployment method for CNC systems;Journal of Manufacturing Systems;2024-06

4. EDITORS: Energy-aware Dynamic Task Offloading using Deep Reinforcement Transfer Learning in SDN-enabled Edge Nodes;Internet of Things;2024-04

5. Computation offloading techniques in edge computing: A systematic review based on energy, QoS and authentication;Concurrency and Computation: Practice and Experience;2024-03-08

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