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Dependent Task-Offloading Strategy Based on Deep Reinforcement Learning in Mobile Edge Computing
2023
Wireless Communications and Mobile Computing
In mobile edge computing, there are usually relevant dependencies between different tasks, and traditional algorithms are inefficient in solving dependent task-offloading problems and neglect the impact of the dynamic change of the channel on the offloading strategy. To solve the offloading problem of dependent tasks in a dynamic network environment, this paper establishes the dependent task model as a directed acyclic graph. A Dependent Task-Offloading Strategy (DTOS) based on deep
doi:10.1155/2023/4665067
fatcat:mgl7ug24zvf6jlifxyoc4h4ny4