Task Offloading Dataset
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/TesfayZ/CCM_MADRL_MEC
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资源简介：
该数据集包含了多种任务卸载场景，旨在评估所提出的CCM_MADRL_MEC算法与基准算法及启发式方法在不同情况下的性能表现。该数据集由模拟生成的参数变化场景构成，旨在用于评估移动边缘计算中任务卸载的深度强化学习方法。实验规模较小，存储限制为400MB，任务集中在移动边缘计算中的任务卸载。
This dataset includes various task offloading scenarios, aiming to evaluate the performance of the proposed CCM_MADRL_MEC algorithm, baseline algorithms and heuristic methods under different conditions. Composed of parameter-varying scenarios generated via simulation, this dataset is intended for assessing deep reinforcement learning approaches for task offloading in Mobile Edge Computing (MEC). It has a small experimental scale with a storage limit of 400MB, and its tasks focus on task offloading in Mobile Edge Computing.
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