Effective task offloading heuristics for minimizing energy consumption in edge computing
Author:
Affiliation:
1. Nanjing University of Science and Technology,School of Computer Science and Engineering,Nanjing,China,210094
Funder
Jiangsu Planned Projects for Postdoctoral Research Funds
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9903085/9903087/09903203.pdf?arnumber=9903203
Reference20 articles.
1. Energy Efficient Task Caching and Offloading for Mobile Edge Computing
2. Efficient Computation Offloading in Mobile Edge Computing Based on Dynamic Programming
3. Energy-Saving Offloading by Jointly Allocating Radio and Computational Resources for Mobile Edge Computing
4. Energy-efficient Offloading Policy for Resource Allocation in Distributed Mobile Edge Computing
5. Energy Efficient Task Offloading in NOMA-Based Mobile Edge Computing System
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1. An Energy-Efficient Metaheuristic for Offloading Security-Critical Tasks in Mobile Edge Computing with Integrated DPUs;2023 IEEE 3rd International Conference on Intelligent Technology and Embedded Systems (ICITES);2023-10-27
2. Deep Reinforcement Learning-based Computing Offloading and Resource Allocation Algorithm in Internet of Vehicles;2023 IEEE 11th International Conference on Information, Communication and Networks (ICICN);2023-08-17
3. A Two-Stage Cooperative Reinforcement Learning Scheme for Energy-Aware Computational Offloading;2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR);2023-06-05
4. Survey on Optimization Models for Energy-Efficient Computing Systems;Energies;2022-11-19
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