Collaborative Task Processing and Resource Allocation Based on Multiple MEC Servers
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-54521-4_21
Reference30 articles.
1. Elgendy, I.A., Zhang, W.-Z., Zeng, Y., He, H., Tian, Y.-C., Yang, Y.: Efficient and secure multi-user multi-task computation offloading for mobile-edge computing in mobile IoT networks. IEEE Trans. Netw. Serv. Manage. 17(4), 2410–2422 (2020). https://doi.org/10.1109/TNSM.2020.3020249
2. El Haber, E., Nguyen, T.M., Assi, C.: Joint optimization of computational cost and devices energy for task offloading in multi-tier edge-clouds. IEEE Trans. Commun. 67(5), 3407–3421 (2019). https://doi.org/10.1109/TCOMM.2019.2895040
3. Zhao, M., et al.: Energy-aware task offloading and resource allocation for time-sensitive services in mobile edge computing systems. IEEE Trans. Veh. Technol. 70(10), 10925–10940 (2021). https://doi.org/10.1109/TVT.2021.3108508
4. Li, Q., Wang, S., Zhou, A., Ma, X., Yang, F., Liu, A.X.: QoS driven task offloading with statistical guarantee in mobile edge computing. IEEE Trans. Mob. Comput. 21(1), 278–290 (2022). https://doi.org/10.1109/TMC.2020.3004225
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