Load Balancing for Energy Harvesting Mobile Edge Computing
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-58013-0_9
Reference13 articles.
1. Amine Abouaomar, Zoubeir Mlika, Abderrahime Filali, Soumaya Cherkaoui, and Abdellatif Kobbane. A deep reinforcement learning approach for service migration in MEC-enabled vehicular networks. In 2021 IEEE 46th conference on local computer networks (LCN), pages 273–280. IEEE, 2021.
2. Shuai Chang, Chunlin Li, Chunping Deng, and Youlong Luo. Low-latency controller load balancing strategy and offloading decision generation algorithm based on Lyapunov optimization in SDN mobile edge computing environment. Cluster Computing, pages 1–21, 2023.
3. Liqiong Chen, Yingda Liu, Yijun Lu, and Huaiying Sun. Energy-aware and mobility-driven computation offloading in MEC. Journal of Grid Computing, 21(2):26, 2023.
4. J. Feng, Q. Pei, F. R. Yu, X. Chu, and B. Shang. Computation offloading and resource allocation for wireless powered mobile edge computing with latency constraint. IEEE Wireless Communications Letters, 8(5):1320–1323, 2019.
5. Can Gong, Li Wei, Deliang Gong, Tiantian Li, Fang Feng, et al. Energy-efficient task migration and path planning in UAV-enabled mobile edge computing system. Complexity, 2022, 2022.
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