面向工业边缘设备调度算法研究的计算任务数据集

面向工业边缘设备调度算法研究的计算任务数据集主要面向边缘计算任务调度算法的验证，基于操作系统为Ubuntu20.04，处理器为AMD Ryzen 5 4600H，内存为16GB的服务器上通过运行数据生成程序，对任务数量、边缘设备数量、服务器数量等数据特征进行设定，并随机生成边缘设备计算任务数据集。数据集中包含20000余条边缘设备计算任务的执行情况，每条数据包含任务所需算力、数据量、截止时间、设备排队数据量、设备算力、设备到各服务器的距离、各服务器剩余算力字段，数据量为3.09MB。

This computational task dataset for industrial edge device scheduling algorithm research is primarily designed for validating edge computing task scheduling algorithms. It was generated by running a data generation program on a server equipped with Ubuntu 20.04 operating system, AMD Ryzen 5 4600H processor, and 16GB of RAM. Prior to generation, key data characteristics including the number of tasks, edge devices, and servers were pre-defined, and the edge device computational task dataset was randomly generated accordingly. The dataset contains over 20,000 execution records of edge device computational tasks, with each record including fields such as task-required computing power, data volume, deadline, queued data volume of the device, device computing power, distance from the device to each server, and remaining computing power of each server. The total size of the dataset is 3.09 MB.

搜集汇总

背景与挑战

背景概述

该数据集是一个面向工业边缘设备调度算法研究的计算任务数据集，包含20000余条边缘设备计算任务的执行情况，数据量为3.09MB，格式为csv和docx。数据集主要用于验证边缘计算任务调度算法，包含任务所需算力、数据量、截止时间等关键字段。