智能协同的多路径联合传送控制研究的仿真数据集

本数据集主要面向智能协同的多路径联合传送控制研究建设，基于仿真平台和搭建实际试验环境对多路径联合传送控制机制的性能进行测试产生。测试使用的网络场景数据主要来源于学术界广泛使用的卫星运行数据、地面网络运行数据等外部网络条件和运行数据，生成网络拓扑、网络流量等仿真参数，然后测量不同多路径联合传送控制机制在不同网络环境中的性能。主要性能参数包括：端到端时延、上层应用（如视频会议）的时延、吞吐量、有效吞吐量、重传率、截止时间前传送完成的数据量、传送完成时间、多子流之间的失序情况等。数据量约3.29MB。This dataset is primarily developed for research on intelligent-cooperative multi-path joint transmission control, and is generated by testing the performance of multi-path joint transmission control mechanisms using both simulation platforms and physically constructed experimental environments. The network scenario data utilized for testing mainly originates from widely adopted academic external network conditions and operational datasets such as satellite operation data and terrestrial network operation data. Based on these data, simulation parameters including network topologies and network traffic are generated, followed by performance measurements of different multi-path joint transmission control mechanisms across various network environments. The core performance parameters under evaluation include: end-to-end latency, latency of upper-layer applications (e.g., video conferencing), throughput, effective throughput, retransmission rate, volume of data transmitted prior to the specified deadline, transmission completion time, and out-of-order status among multiple sub-flows, among others. The total size of this dataset is approximately 3.29 MB.

搜集汇总

背景与挑战

背景概述

该数据集面向智能协同的多路径联合传送控制研究，通过仿真和试验环境测试多路径传送控制机制的性能，基于卫星和地面网络数据生成仿真参数，测量端到端时延、吞吐量、重传率等指标。数据量约为3.29MB。