AI RESEARCH
TURBOTEST: Learning When Less is Enough through Early Termination of Internet Speed Tests
arXiv CS.LG
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ArXi:2510.21141v2 Announce Type: replace-cross Internet speed tests are indispensable for users, ISPs, and policymakers, but their static flooding-based design imposes growing costs: a single high-speed test can transfer hundreds of MB, and collectively, platforms like Ookla, M-Lab, and Fast.com generate petabytes of traffic each month. Reducing this burden requires deciding when a test can be stopped early without sacrificing accuracy.