Oct 14, 2019 · Recent studies have focused on (i) developing INT mechanisms to increase network-wide visibility; and (ii) to design new monitoring solutions.
Oct 22, 2024 · We propose a machine learning based framework for building a hierarchical monitoring system to detect and diagnose service issues. We ...
Dec 10, 2019 · In this letter, we introduce the In-band Network Telemetry. Orchestration Plan Problem as a machine learning aided optimization model. The main ...
This letter theoretically formalizes the In-band Network Telemetry Orchestration Plan Problem and proposes a machine learning based orchestration model that ...
Orchestrating In-Band Data Plane Telemetry With Machine Learning. Go to the source at https://doi.org/10.1109/lcomm.2019.2946562. #Pa[79163969]. Abstract+.
Jul 20, 2023 · Bibliographic details on Orchestrating In-Band Data Plane Telemetry With Machine Learning.
With momentum gained from programmable data plane (PDP), in-band network telemetry (INT) has been widely considered as a promising technique for realtime ...
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In this paper, we present the in-band network telemetry problem and extend the existing mathematical optimization models of the problem by proposing a new ...
With the rapid development of programmable data plane (PDP), both segment routing (SR) and in-band network telemetry (INT) have attracted intensive interests.
In-band network telemetry is a powerful framework for network monitoring. It allows the collection of telemetry data in real-time.