Hybrid Task Offloading for Serverless Computing in the Multi-edge-to-Cloud Environment
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-4402-6_4
Reference18 articles.
1. Tang, M., Wong, V.W.: Deep reinforcement learning for task offloading in mobile edge computing systems. IEEE Trans. Mob. Comput. 21(6), 1985–1997 (2022). https://doi.org/10.1109/TMC.2020.3036871
2. Kuang, Z., Ma, Z., Li, Z.: Cooperative computation offloading and resource allocation for delay minimization in mobile edge computing. J. Syst. Architect. 118, 102167 (2021). https://doi.org/10.1016/j.sysarc.2021.102167
3. Alfakih, T., Hassan, M.M., Gumaei, A.: Task offloading and resource allocation for mobile edge computing by deep reinforcement learning based on SARSA. IEEE Access 8, 54074–54084 (2020). https://doi.org/10.1109/ACCESS.2020.2981434
4. Wu, J., Lin, H., Liu, H.: A deep reinforcement learning approach for collaborative mobile edge computing. In: IEEE International Conference on Communications, ICC 2022, pp. 601–606 (2022). https://doi.org/10.1109/ICC45855.2022.9839202
5. Hossain, M.D., Sultana, T.: Edge orchestration based computation peer offloading in MEC-enabled networks: a fuzzy logic approach. In: 2021 15th International Conference on Ubiquitous Information Management and Communication (IMCOM), pp. 1–7 (2021). https://doi.org/10.1109/IMCOM51814.2021.9377327
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