In-band Network Telemetry via Programmable Dataplanes

By Changhoon Kim, Anirudh Sivaraman, Naga Praveen Kumar Katta, Antonin Bas, Advait Abhay Dixit, Lawrence J Wobker. 2015

427 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a3f19dc8520e2f42673be7cbd8d80cd96e3ec0c1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Krzysztof Rusek
2. Albert Cabellos-Aparicio
3. Pere Barlet-Ros
4. José Suárez-Varela
5. Paul Almasan
6. Uzair Aslam Bhatti

Citations in the corpus

• AmoebaNet: An SDN-enabled network service for big data science (2018, unknown): “With the advent of P4, programmable networks can be controlled “top-down” to install any functionality the user wants (Kim et al., 2015; Popescu et al., 2017; Sivaraman et al., 2015; Laki et al., 2016).”
• RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN (2019, methodology): “This can be achieved by means of “conventional” SDN-based measurement techniques (e.g., OpenFlow [16], OpenSketch [17]) or more novel telemetry proposals such as INT for P4 [18] or iOAM [19].”