Dataplane Performance Comparison of 5G gNB Implementations

Overview This dataset provides a comprehensive collection of network performance metrics captured through a specialized testbed and methodology designed for the research community. The data is structured into three distinct categories: Throughput measurements, One-Way Delay (OWD) measurements, and OWD analysis conducted under heavier traffic loads. To balance human readability with computational efficiency, the dataset is provided in a hybrid format. Data Structure and Features The dataset is organized into three primary feature sets: 1. Throughput Metrics: Provided in JSON format (generated via iPerf3), this set includes mbpsactual_uplink/downlink, mbpsoffered_uplink/downlink, meanjitterms_uplink/downlink, and meanloss_uplink/downlink.2. OWD / Latency Metrics: Provided in CSV format parsed from traffic captures, these files contain packet-level telemetry including epoch timestamps, source/destination IP addresses (Inner and Outer), packet size (Bytes), sequence numbers, inter-arrival times (iat), relative time (trel), path distance (pdist), and packet counts (pnpak).3. Metadata and System Logs: This set includes experimental context such as gNodeB (gnb) identifiers, bandwidth (bw), TDD ratio, scenario descriptions, and repetitions. It also features physical layer metrics like Modulation and Coding Schemes (dl_mcs, ul_mcs) and Signal-to-Noise Ratio (ue_snr, gnb_snr). Contents The repository includes the processed JSON and CSV datasets, raw system logs detailing CPU usage and SNR measurements, and the original processing scripts used to integrate these metrics for evaluation. This multi-layered approach allows researchers to validate the results or perform independent analysis on the relationship between system load and network performance.数据集概览 本数据集收录了专为科研社区设计的专用测试平台与测试方法所采集的全方位网络性能指标。数据分为三大独立类别：吞吐量测量数据、单向延迟（One-Way Delay, OWD）测量数据，以及高流量负载下的OWD分析数据。为兼顾人工可读性与计算效率，本数据集采用混合格式存储。 数据结构与特征 本数据集包含三大核心特征集： 1. 吞吐量指标：该指标集以JSON格式存储（由iPerf3生成），包含实际上行/下行吞吐量（mbpsactual_uplink/downlink）、预设上行/下行吞吐量（mbpsoffered_uplink/downlink）、上行/下行平均抖动（meanjitterms_uplink/downlink）以及上行/下行平均丢包率（meanloss_uplink/downlink）。 2. 单向延迟/时延指标：该指标集以从流量捕获文件解析得到的CSV格式存储，包含数据包级遥测数据，具体包括纪元时间戳、内外层源/目的IP地址、数据包大小（Bytes）、序列号、到达间隔时间（inter-arrival times, iat）、相对时间（trel）、路径距离（pdist）以及数据包计数（pnpak）。 3. 元数据与系统日志：该特征集包含实验上下文信息，例如gNodeB（gnb）标识符、带宽（bw）、时分双工（Time Division Duplex, TDD）配比、场景描述以及实验重复次数；同时收录物理层指标，包括调制与编码方案（Modulation and Coding Schemes, MCS），对应指标为dl_mcs与ul_mcs，以及信噪比（Signal-to-Noise Ratio, SNR），对应指标为ue_snr与gnb_snr。 数据集内容 本数据集仓库包含处理后的JSON与CSV格式数据集、记录CPU使用率与信噪比（SNR）测量结果的原始系统日志，以及用于整合各类指标以开展评估的原始处理脚本。这种多层级的数据集结构支持研究人员验证实验结果，或独立分析系统负载与网络性能之间的关联关系。