具身智能云边协同训练数据集

云边具身智能计算性能训练数据集（Cloud-Edge Embodied Intelligence Computing Performance Dataset）是面向人工智能、具身智能系统、自主智能体及云边协同计算场景构建的大规模计算性能训练数据集。数据集重点描述智能计算任务在云计算、边缘计算及分布式 AI 环境中的资源运行状态、任务执行行为及能耗变化特征，用于训练具备资源感知、动态调度与自主优化能力的智能系统。

The Cloud-Edge Embodied Intelligence Computing Performance Dataset is a large-scale computational performance training dataset constructed for scenarios including artificial intelligence, embodied intelligent systems, autonomous agents, and cloud-edge collaborative computing. This dataset focuses on characterizing the resource operating states, task execution behaviors, and energy consumption variation characteristics of intelligent computing tasks in cloud computing, edge computing, and distributed AI environments, and is used to train intelligent systems with capabilities of resource awareness, dynamic scheduling, and autonomous optimization.

搜集汇总

背景与挑战

背景概述

该数据集是一个面向具身智能、自主智能体及云边协同计算场景的大规模计算性能训练数据集，重点描述智能任务在云计算、边缘计算等环境中的资源运行状态、任务执行行为及能耗变化特征。它包含多维度计算指标，用于训练具备资源感知、动态调度与自主优化能力的智能系统，适用于机器学习、强化学习等AI训练任务。