A Power Multi-Service Transmission Scheduling Method in 5G Edge-Cloud Collaboration Scenario

Author:

Yao Jiming1,Wu Peng1,Chen Duanyun2,Wang Wei1,Lin Yuqian2

Affiliation:

1. State Grid Smart Grid Research Institute Co., Ltd,Beijing,China

2. State Grid Fujian Electric Power Co., Ltd,Fuzhou,China

Publisher

IEEE

Reference20 articles.

1. Research on optimal power task scheduling algorithm based on edge computing[J/OL];lv;Electrical Measurement & Instrumentation,2021

2. Collaborative Dynamic Task Allocation with Demand Response in Cloud-Assisted Multi-Edge System for Smart Grids[J];sun;IEEE Internet of Things Journal,2021

3. An optimization method of power service delay based on cloud edge cooperation[J];gao;Electric Power Information and Communication Technology,2021

4. Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading

5. Mobile Edge Computing Empowered Energy Efficient Task Offloading in 5G

Cited by 1 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. Cloud Edge Collaborative Scheduling Model for Power Grid with New Energy Access;2023 5th International Conference on Power and Energy Technology (ICPET);2023-07-27

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