Published February 5, 2025 | Version v1
Dataset Restricted

Global Web Cache Latency Measurement for Low-Earth Orbit Satellite Networks: A Dataset

Authors/Creators

  • 1. ROR icon Tsinghua University

Description

Global Web Cache Latency Measurement for Low-Earth Orbit Satellite Networks: A Dataset

This dataset contains global web cache latency measurements collected via RIPE Atlas probes equipped with low-earth orbit (LEO) satellite networks' terminals across five continents, spanning over 24 hours and resulting in ~2 Million measurements. The measurements aim to evaluate the user-perceived latency of accessing popular websites through LEO satellite networks.
This dataset is a product of Spache, a research project on web caching from space. Please refer to its WWW'25 paper for more details and analysis results.

Dataset File Content

The dataset includes the following files:

Metadata

  • Target website list: A list of the top 50 most popular websites according to Alexa ranking.
    • Note: microsoftonline.com (originally ranked 41st) is not included in the list due to its unresolvable domain name.

Measurement results - Latency

  • Ping RTT latency: Containing the minimum RTT (Round Trip Time, in milliseconds) for each Ping measurement to all target websites.
    • Probe information: Corresponding Probe IDs (Anonymized), along with their respective continents at the time of measurement.

This dataset is intended to support research on web caching, particularly in the context of satellite Internet. Please cite both this dataset and the associated paper if you find this data useful.

Notes 

@dataset{lai_2025_14835263,
 author       = {Lai, Zeqi},
 title        = {[Spache] Global Starlink Web Cache Latency Measurement Dataset},
 month        = feb,
 year         = 2025,
 publisher    = {Zenodo},
 doi          = {10.5281/zenodo.14835263},
 url          = {https://doi.org/10.5281/zenodo.14835263},
}

@inproceedings{zhang2025spache,
 author    = {Qi Zhang and Qian Wu and Zeqi Lai and Jihao Li and Hewu Li and Yuyu Liu and Yuanjie Li and Jun Liu},
 title     = {Spache: Accelerating Ubiquitous Web Browsing via Schedule-Driven Space Caching},
 booktitle = {Proceedings of the ACM Web Conference 2025 (WWW '25)},
 year      = {2025},
 pages     = {1--11},
 address   = {Sydney, NSW, Australia},
 publisher = {ACM},
 doi       = {10.1145/3696410.3714789},
 url       = {https://doi.org/10.1145/3696410.3714789}
}

Files

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Additional details

Related works

Is part of
Other: https://github.com/SpaceNetLab (URL)
Is supplement to
Conference paper: 10.1145/3696410.3714789 (DOI)