Multi-task offloading in mobile edge computing networks

Huiji Zheng; Sicong Yu; Xinyuan Qiu

doi:10.1117/12.2641438

4 August 2022 Multi-task offloading in mobile edge computing networks

Huiji Zheng, Sicong Yu, Xinyuan Qiu

Proceedings Volume 12306, Second International Conference on Digital Signal and Computer Communications (DSCC 2022); 1230607 (2022) https://doi.org/10.1117/12.2641438
Event: Second International Conference on Digital Signal and Computer Communications (DSCC 2022), 2022, Changchun, China

Abstract

In order to achieve the optimal balance between task execution delay and energy consumption in Mobile Edge Computing (MEC) networks. First, the Analytic Hierarchy Process (AHP) is adopted to classify the priority of all tasks, so as to establish a related model for task offloading strategy and weight allocation of resources. Then, a multi-task offloading algorithm based on DNN is introduced to generate offloading strategies using multiple DNNS. Meanwhile, training samples composed of offloading strategies and input data are stored through the experience pool. These training samples will be used to train DNN. Simulation results show that the accuracy of the proposed multi-task offloading algorithm can reach 0.99, and the total delay of task processing and system cost can be effectively reduced compared with the three comparison algorithms.

Citation Download Citation

Huiji Zheng, Sicong Yu, and Xinyuan Qiu "Multi-task offloading in mobile edge computing networks", Proc. SPIE 12306, Second International Conference on Digital Signal and Computer Communications (DSCC 2022), 1230607 (4 August 2022); https://doi.org/10.1117/12.2641438

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