一种基于网络切片的网络资源动态分配方法仿真结果数据

该数据集主要面向网络切片中资源动态分配算法研究，关注网络切片资源时域的动态分配，并在进行资源调度时优化系统整体的收益和请求违反率，使用P樱桃红编程语言仿真产生，主要记录了预测器性能、违反率、系统资源利用率、服务提供商收益等指标的观测值，数据量853MB。

This dataset is primarily intended for research on dynamic resource allocation algorithms in network slicing. It focuses on the dynamic allocation of time-domain resources for network slicing, and aims to optimize the overall system revenue and request violation rate during resource scheduling. Generated via simulations using the P Cherry Red programming language, the dataset records observed values of multiple metrics including predictor performance, request violation rate, system resource utilization, and service provider revenue, with a total size of 853 MB.

搜集汇总

背景与挑战

背景概述

该数据集为网络切片资源动态分配算法的仿真结果，包含预测器性能、违反率、系统资源利用率等关键指标数据，数据量853MB，由电子科技大学发布，适用于通信网络技术领域的研究。