We present an experimental proof-of-concept on detecting SOP variations including information on mechanical stresses on the network footprint by tapping out a small amount of power from 10G channels. Data can be gathered and classified locally, in each node, delivering alerts through streaming telemetry

Real-time Detection of Anthropic Events by 10G Channels in Metro Network Segments / Straullu, Stefano; Aquilino, Francesco; Bratovich, Rudi; Rodriguez, Fransisco M.; D'Amico, Andrea; Virgillito, Emanuele; Pastorelli, Rosanna; Curri, Vittorio. - ELETTRONICO. - (2022), pp. 1-2. (Intervento presentato al convegno 2022 IEEE Photonics Conference (IPC) tenutosi a Vancouver, BC, Canada nel 13-17 November 2022) [10.1109/IPC53466.2022.9975561].

Real-time Detection of Anthropic Events by 10G Channels in Metro Network Segments

D'Amico, Andrea;Virgillito, Emanuele;Curri, Vittorio
2022

Abstract

We present an experimental proof-of-concept on detecting SOP variations including information on mechanical stresses on the network footprint by tapping out a small amount of power from 10G channels. Data can be gathered and classified locally, in each node, delivering alerts through streaming telemetry
2022
978-1-6654-3487-4
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2976136