Less is More: Optimizing Probe Selection Using Shared Latency Anomalies

Taveesh Sharma; Andrew Chu; Paul Schmitt; Francesco Bronzino; Nicole P. Marwell; Nick Feamster

doi:10.1145/3808666

Conference proceedings

Less is More: Optimizing Probe Selection Using Shared Latency Anomalies

Taveesh Sharma, Andrew Chu, Paul Schmitt, Francesco Bronzino, Nicole P. Marwell, & Nick Feamster

Proceedings of the ACM on Networking (CoNEXT), Vol. 4, Article 18 · Forthcoming

Conference proceedingsForthcoming

DOI ↗

Abstract

Using four months of high-frequency round-trip-time measurements from 99 residential probes in Chicago, this paper detects latency anomalies shared across devices without relying on network topology, and develops a sampling algorithm that covers 95% of aggregate anomaly impact using less than half the probes.

Cite

Sharma, T., Chu, A., Schmitt, P., Bronzino, F., Marwell, N. P., & Feamster, N. (2026, in press). Less is More: Optimizing Probe Selection Using Shared Latency Anomalies. Proceedings of the ACM on Networking (CoNEXT), Vol. 4, Article 18. https://doi.org/10.1145/3808666

BibTeX

@inproceedings{sharma2026less,
  author = {Sharma, Taveesh and Chu, Andrew and Schmitt, Paul and Bronzino, Francesco and Marwell, Nicole P. and Feamster, Nick},
  title = {Less is More: Optimizing Probe Selection Using Shared Latency Anomalies},
  booktitle = {Proceedings of the ACM on Networking (CoNEXT)},
  year = {2026},
  doi = {10.1145/3808666}
}