Task Offloading Dataset

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.

搜集汇总

背景与挑战

背景概述

该数据集是移动边缘计算任务卸载领域的强化学习实验数据，包含三种不同参数配置下的性能指标CSV文件。数据集支持客户端-主多智能体深度强化学习算法研究，重点解决任务卸载中延迟与能耗的平衡优化问题。