Missing measurements on RIPE Atlas
Wenqin Shao, Jean-Louis Rougier, Fran\c{c}ois Devienne and, Mateusz Viste
TL;DR
This paper investigates the frequent loss of measurement data in RIPE Atlas, analyzing the correlation with connection events to understand why many measurements are missed even when probes are connected.
Contribution
It uncovers the prevalence of missing data in RIPE Atlas measurements and explores the relationship with connection events, providing insights into measurement reliability.
Findings
Many measurements are lost despite probes being connected.
Temporal correlation exists between missing data and connection events.
Understanding these patterns can improve measurement accuracy.
Abstract
We show that it is common to lose some datapoints for mea-surements scheduled at regular interval on RIPE Atlas. Thetemporal correlation between missing measurements and con-nection events are analyzed, in the pursuit of understandingreasons behind such missings. To our surprise, a big part of measurements are lost while probes are connected.
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Taxonomy
TopicsTime Series Analysis and Forecasting · Anomaly Detection Techniques and Applications · Computational Physics and Python Applications