Exploring Telemetry Collection Interval and Continuity in a Six-Month Study of a Pan-European Network (W2A.32)
Presenter: Kaida Kaeval, Tallinn University of Technology
Reliable telemetry data is the key to unlocking machine learning-based network observability. This paper discusses the collection design, content, and continuity based on a 6-month-long data collection in a live network from the operator`s perspective.
Authors:Kaida Kaeval, Tallinn University of Technology / Torm Järvelill, Tallinn University of Technology / Jasper Müller, Adtran / Marko Tikas, Tele2 Estonia AS