Pareto Front Performance Data

该数据集对采用多目标强化学习（MORL）调度方案的性能数据进行了评估，涵盖了不同任务偏好下的总延迟和能源消耗。此外，数据集还包含了针对不同偏好下的任务性能指标，如能源消耗和任务延迟的具体计算结果。该数据集旨在解决移动边缘计算中的多目标卸载问题。This dataset evaluates the performance of scheduling schemes based on multi-objective reinforcement learning (MORL), covering total latency and energy consumption under different task preferences. Additionally, it includes specific calculated results of task performance metrics such as energy consumption and task latency under various preferences. This dataset is designed to address the multi-objective offloading problem in mobile edge computing.