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20132025
most citedScaling Distributed Machine Learning with In-Network Aggregation

117 citations · 411 across the 25 of their papers we have counts for

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6 papers · 1 filter

cs.NI2019★ 21 cited

Consistent SDNs through Network State Fuzzing

Apoorv Shukla, Said Jawad Saidi, Stefan Schmid +3

The conventional wisdom is that a software-defined network (SDN) operates under the premise that the logically centralized control plane has an accurate representation of the actua…

cs.NI2019

Measurements As First-class Artifacts

Paolo Laffranchini, Luis Rodrigues, Marco Canini +1

The emergence of programmable switches has sparked a significant amount of work on new techniques to perform more powerful measurement tasks, for instance, to obtain fine-grained t…

cs.NI2018★ 8 cited

Prelude: Ensuring Inter-Domain Loop-Freedom in~SDN-Enabled Networks

Arnaud Dethise, Marco Chiesa, Marco Canini

Software-Defined-eXchanges (SDXes) promise to tackle the timely quest of bringing improving the inter-domain routing ecosystem through SDN deployment. Yet, the naive deployment of…

cs.NI2017★ 8 cited

Renaissance: A Self-Stabilizing Distributed SDN Control Plane using In-band Communications

Marco Canini, Iosif Salem, Liron Schiff +2

By introducing programmability, automated verification, and innovative debugging tools, Software-Defined Networks (SDNs) are poised to meet the increasingly stringent dependability…

cs.NI2017★ 17 cited

Sonata: Query-Driven Network Telemetry

Arpit Gupta, Rob Harrison, Ankita Pawar +5

Operating networks depends on collecting and analyzing measurement data. Current technologies do not make it easy to do so, typically because they separate data collection (e.g., p…

cs.NI2017★ 3 cited

Decentralized Consistent Network Updates in SDN with ez-Segway

Thanh Dang Nguyen, Marco Chiesa, Marco Canini

We present ez-Segway, a decentralized mechanism to consistently and quickly update the network state while preventing forwarding anomalies (loops and black-holes) and avoiding link…