Task graph offloading via deep reinforcement learning in mobile edge computing

Published: 01 Jan 2024, Last Modified: 01 Aug 2025Future Gener. Comput. Syst. 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•The task graph offloading is decomposed into making the scheduling decision for the ready tasks of the arrival applications in a sequence of discrete time steps.•The scheduling processing of the ready tasks is modeled as a Markov Decision Process.•A reinforcement learning algorithm based on DQN is designed to learn the task scheduling strategy.
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