The SAP Cloud Infrastructure Dataset: A Reality Check of Scheduling and Placement of VMs in Cloud Computing

The SAP Cloud Infrastructure Dataset: A Reality Check of Scheduling and Placement of VMs in Cloud ComputingThis repository accompanies the paper: Arno Uhlig, Iris Braun, Matthias Wählisch The SAP Cloud Infrastructure Dataset: A Reality Check of Scheduling and Placement of VMs in Cloud Computing.* Proceedings of the ACM Internet Measurement Conference (IMC ’25), October 28–31, 2025, Madison, WI, USA. DOI: 10.1145/3730567.3764480If you use this dataset, please cite our paper and dataset:@inproceedings{uhlig2025sapdataset, author = {Arno Uhlig, Iris Braun, Matthias Wählisch}, title = {The SAP Cloud Infrastructure Dataset: A Reality Check of Scheduling and Placement of VMs in Cloud Computing}, booktitle = {Proceedings of the 2025 ACM Internet Measurement Conference (IMC '25)}, year = {2025}, doi = {10.1145/3730567.3764480}}@dataset{zenodo17141306, author = {Arno Uhlig and Iris Braun and Matthias W\"ahlisch}, title = {The SAP Cloud Infrastructure Dataset: A Reality Check of Scheduling and Placement of VMs in Cloud Computing}, year = {2025}, publisher = {Zenodo}, doi = {10.5281/zenodo.17141306}, url = {https://doi.org/10.5281/zenodo.17141306}}If you have questions, please contact: - Arno Uhlig – [e-mail]- Iris Braun – [e-mail]- Matthias Wählisch – [e-mail]---OverviewThis repository provides data and artifacts used in the paper, including:- Telemetry data from ~1,800 hypervisors and 48,000 VMs over a 30-day observation period - Resource utilization metrics (CPU, memory, network, storage) - Scheduling-relevant events (creation, migration, resize, deletion) - Scripts for preprocessing, analysis, and visualization The dataset captures real-world enterprise workloads and enables reproducible research on VM placement and scheduling in large-scale cloud environments.---Repository Structure .├── data/ # Raw, anonymized datasets├── scripts/ # Analysis and visualization scripts└── LICENSE # License fileGetting Started - Requirements - Python ≥ 3.10 - See the [requirements.txt](./requirements.txt)- For large-scale analysis: sufficient memory and storageLicense This dataset and accompanying material are released under the **Creative Commons Attribution 4.0 International License (CC BY 4.0)**. See [LICENSE](./LICENSE) for details.# SAP云基础设施数据集：云计算中虚拟机调度与放置的现实校验 本仓库配套以下发表的论文： Arno Uhlig、Iris Braun、Matthias Wählisch *《SAP云基础设施数据集：云计算中虚拟机调度与放置的现实校验》* 发表于2025年ACM互联网测量会议（ACM Internet Measurement Conference，IMC ’25）论文集，2025年10月28日至31日，美国威斯康星州麦迪逊。 DOI：10.1145/3730567.3764480 若使用本数据集，请引用我们的论文与数据集： bibtex @inproceedings{uhlig2025sapdataset, author = {Arno Uhlig, Iris Braun, Matthias Wählisch}, title = {The SAP Cloud Infrastructure Dataset: A Reality Check of Scheduling and Placement of VMs in Cloud Computing}, booktitle = {Proceedings of the 2025 ACM Internet Measurement Conference (IMC '25)}, year = {2025}, doi = {10.1145/3730567.3764480}} @dataset{zenodo17141306, author = {Arno Uhlig and Iris Braun and Matthias Wählisch}, title = {The SAP Cloud Infrastructure Dataset: A Reality Check of Scheduling and Placement of VMs in Cloud Computing}, year = {2025}, publisher = {Zenodo}, doi = {10.5281/zenodo.17141306}, url = {https://doi.org/10.5281/zenodo.17141306}} 如有疑问，请联系： - Arno Uhlig – [e-mail] - Iris Braun – [e-mail] - Matthias Wählisch – [e-mail] --- ## 概述 本仓库提供了论文中使用的全部数据与配套工件，具体包括： - 为期30天观测周期内，约1800台虚拟机监控器（hypervisor）与48000台虚拟机（Virtual Machine，VM）的遥测数据 - 各类资源利用率指标（CPU、内存、网络、存储） - 与调度相关的各类事件（创建、迁移、规格调整、删除） - 用于数据预处理、分析与可视化的脚本 本数据集捕获了真实的企业级工作负载，可支撑大规模云环境下虚拟机放置与调度方向的可复现研究。 --- ## 仓库结构 . ├── data/ # 原始匿名化数据集 ├── scripts/ # 分析与可视化脚本 └── LICENSE # 许可证文件 ## 快速入门 - 依赖要求 - Python ≥ 3.10 - 具体依赖请参阅 [requirements.txt](./requirements.txt) - 如需开展大规模分析：需配备充足的内存与存储空间 ## 许可证 本数据集及配套材料采用**知识共享署名4.0国际许可协议（Creative Commons Attribution 4.0 International License，CC BY 4.0）**发布，详细条款请参阅 [LICENSE](./LICENSE) 文件。