Abstract

A number of different systems today detect outages in the IPv4 Internet, often using active probing and algorithms based on Trinocular's Bayesian inference. Outage detection methods have evolved, both to provide results in near-real-time, and adding algorithms to account for important but less common cases that might otherwise be misinterpreted. We compare two implementations of active outage detection to see how choices to optimize for near-real-time results with streaming compare to designs that use long-term information to maximize accuracy using batch processing. Examining 8 days of data, starting on 2021-02-26, we show that the two similar systems agree most of the time, more than 84%. We show that only 0.2% of the time the algorithms disagree, and 15% of the time only one reports. We show these differences occur due to streaming's requirement for rapid decisions, precluding algorithms that …

Date

June 10, 2025

Authors

Erica Stutz, John Heidemann, Yuri Pradkin

Conference

2025 9th Network Traffic Measurement and Analysis Conference (TMA)

Pages

1-10

Publisher

IEEE