Estimando métricas de serviço através de In-band Network Telemetry

• Leandro C. de Almeida IFPB / UFSCar
• Fábio L. Verdi UFSCar
• Rafael Pasquini UFU

DOI: https://doi.org/10.5753/sbrc.2021.16725

Abstract

Recently, new approaches of fine telemetry in the network, through In-band Network Telemetry in programmable devices, have delivered new and accurate information about the status of the network. In this context, this work presents indications that it is possible to use fine metrics of network telemetry in a programmable data plan, in conjunction with machine learning methods, to estimate quality of service metrics. A minimalist proof of concept was carried out and preliminary results indicate that, with the aid of machine learning algorithms, it is possible to estimate metrics for a video service from fine metrics related to the buffers of the switches.

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