Binary Computation Offloading in Edge Computing Using Deep Reinforcement Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64064-3_16
Reference13 articles.
1. Liu, F., Tang, G., Li, Y., Cai, Z., Zhang, X., Zhou, T.: A survey on edge computing systems and tools. Proc. IEEE (2019). https://doi.org/10.1109/JPROC.2019.2920341
2. Yu, W., et al.: A survey on the edge computing for the internet of things (2017). https://doi.org/10.1109/ACCESS.2017.2778504
3. Tran-Dang, H., Bhardwaj, S., Rahim, T., Musaddiq, A., Kim, D.-S.: Reinforcement learning based resource management for fog computing environment: literature review, challenges, and open issues. J. Commun. Netw. 24, 83–98(2022). https://doi.org/10.23919/jcn.2021.000041
4. Deng, X., Sun, Z., Li, D., Luo, J., Wan, S.: User-centric computation offloading for edge computing. IEEE Internet Things J. 8, 12559–12568 (2021). https://doi.org/10.1109/JIOT.2021.3057694
5. Hossain, M.S., Nwakanma, C.I., Lee, J.M., Kim, D.S.: Edge computational task offloading scheme using reinforcement learning for IIoT scenario. ICT Express 6 (2020). https://doi.org/10.1016/j.icte.2020.06.002
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