Fed4Fire/CDN-X-ALL network metrics dataset for time series analysis in Media content delivery for 4G/5G networks
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The following dataset was generated at VICOMTECH (https://www.vicomtech.org) under project/experiment CDN-X-ALL: "CDN edge-cloud computing for efficient cache and reliable streaming aCROSS Aggregated unicast-multicast LinkS". Project funded by Fed4FIRE+ OC5 (https://www.fed4fire.eu) under grant 732638. The dataset provides network metrics captures across several days employing a GStreamer-based MPEG-DASH player running on an UE connected to a LTE network. Nitos LTE/OpenAirInterface (OAI) testbed (https://nitlab.inf.uth.gr/NITlab/nitos/lte) was used to deploy the LTE network. <strong>CDN-like server/DASH Dataset -> Internet -> EPC/OAI -> eNodeB/OAI -> UE/DASH player</strong> The player downloads MPEG-DASH video files provided by Distributed DASH dataset (https://dash.itec.aau.at/distributed-dash-datset/), a dataset for CDN-like experiments, and captures the following data: Date: date when the data is collected Player: type of the player (in this case it is always "GStreamer") Num: identifier of the player URLVid: URL of the MPD file Latency: latency experienced by the player BW: bandwidth experienced by the player Quality: chosen DASH video representation During the experiments, other players run in order to generate realistic media streaming traffic at the CDN-like servers. These players start playing by following Poisson or Pareto distribution. The dataset was used to train Machine Learning Time Series predictor in order to forecast network capabilities and can be used for further experimentation concerning time series analysis.
本数据集由VICOMTECH公司（https://www.vicomtech.org）在CDN-X-ALL项目/实验框架下生成，项目全称为“CDN边缘云计算：面向聚合单播-多播链路的高效缓存与可靠流传输（CDN edge-cloud computing for efficient cache and reliable streaming aCROSS Aggregated unicast-multicast LinkS）”。该项目由Fed4FIRE+ OC5（https://www.fed4fire.eu）资助，资助编号为732638。 本数据集采集了多日的网络指标数据，实验采用搭载基于GStreamer的MPEG-DASH播放器的用户设备（UE，User Equipment）连接至LTE网络的架构。实验使用Nitos LTE/OpenAirInterface（OAI）试验床（https://nitlab.inf.uth.gr/NITlab/nitos/lte）搭建LTE网络，数据传输链路为：类CDN服务器/DASH数据集 → 互联网 → 演进分组核心网（EPC，Evolved Packet Core）/OAI → 演进型节点B（eNodeB，evolved Node B）/OAI → UE/DASH播放器。 该播放器用于下载由分布式DASH数据集（https://dash.itec.aau.at/distributed-dash-datset/，一款面向类CDN实验的数据集）提供的MPEG-DASH视频文件，并采集以下数据： - 采集日期（Date）：数据采集的具体日期 - 播放器类型（Player）：播放器型号（本实验中固定为GStreamer） - 播放器标识（Num）：播放器的唯一标识符 - MPD文件URL（URLVid）：MPEG-DASH媒体呈现描述（MPD，Media Presentation Description）文件的下载地址 - 延迟（Latency）：播放器所经历的端到端网络延迟 - 带宽（BW）：播放器实测的可用网络带宽 - 视频质量档位（Quality）：播放器所选的DASH视频表示档位 实验期间还部署了额外的播放器，用于在类CDN服务器端生成符合真实场景的媒体流流量，这些播放器的启动播放时刻遵循泊松（Poisson）分布或帕累托（Pareto）分布。 本数据集曾被用于训练机器学习时间序列预测模型，以预测网络性能能力，同时也可用于后续有关时间序列分析的各类实验研究。
