An Efficient Computing Task Offloading Strategy Based on Energy Consumption and Load Balancing Degree

Author:

Hu Nan1,Xiang Min1,Huang Chunmei1,Qin Lingling1,Yang Bin2,Wang Ruiqiong2,Luo Zhang2

Affiliation:

1. Chongqing University of Posts and Telecommunications,Key Laboratory of Industrial Internet of Things Networked Control,Chongqing,China

2. Powerchina Chongqing Engineering Corporation Limited,Nanping, Chongqing,China

Publisher

IEEE

Cited by 4 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. An efficient scheduling scheme for intelligent driving tasks in a novel vehicle-edge architecture considering mobility and load balancing;Future Generation Computer Systems;2024-11

2. On-Demand Scheduling of Computing Power Resources Based on Deterministic Delay Guarantees;2024 22nd International Conference on Optical Communications and Networks (ICOCN);2024-07-26

3. Data transmission optimization in edge computing using multi-objective reinforcement learning;The Journal of Supercomputing;2024-06-06

4. The Structured Design Framework for Developing Discharging Strategy for Cloud Based Automation Through ML Technique;2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2024-05-14

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