Hi all,
Here's a collection of useful M-Lab docs. These may not answer everything, but they'll be a good start. Please let Stephen and me know what can be augmented and clarified. (Note that we're updating our website, so there's a non-zero chance that some of these links will die in the next couple of weeks. I'll try to remember to update.)
Contact us:
GitHub: Meredith: meredithmeredith
- Platform architecture doc. The intended audience is hosting partners (who donate space/power/connectivity/hardware).
- Policies and procedures for approval of new experiments. Note that I wrote this, and that it may not be specific enough, but I can answer any questions. Note that OONI has been approved as meeting these criteria per the Steering Committee process.
- Server map. Get a look at the global M-Lab footprint.
- List of existing M-Lab measurement tools. Code repos and documentation for individual tools should be linked from here. If they're not, let me know and I'll add this.
- Access existing M-Lab data, tarballs and BigQuery.
- Blog post describing the process to visualize data using BigQuery, a good introduction both to the tool and the data structure. If you'd like whitelisted access to M-Lab data on BigQuery, let me know and I'll make it happen.
- Founding document, which will give you background on M-Lab's founding motivations. Many of the facts quoted here have changed (e.g. number of servers), but as history this is instructive.
- Existing visualizations, which are fun and may be instructive.
Thanks,
Meredith
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Meredith Whittaker
Program Manager, Google Research
Google NYC