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20192023
most citedDeePCCI: Deep Learning-based Passive Congestion Control Identification

18 citations · 57 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.NI20239 cited

Does It Spin? On the Adoption and Use of QUIC's Spin Bit

Ike Kunze, Constantin Sander, Klaus Wehrle

Encrypted QUIC traffic complicates network management as traditional transport layer semantics can no longer be used for RTT or packet loss measurements. Addressing this challenge,…

cs.NI202313 cited

ECN with QUIC: Challenges in the Wild

Constantin Sander, Ike Kunze, Leo Blöcher +2

TCP and QUIC can both leverage ECN to avoid congestion loss and its retransmission overhead. However, both protocols require support of their remote endpoints and it took two decad…

cs.NI2021

Sharding and HTTP/2 Connection Reuse Revisited: Why Are There Still Redundant Connections?

Constantin Sander, Leo Blöcher, Klaus Wehrle +1

HTTP/2 and HTTP/3 avoid concurrent connections but instead multiplex requests over a single connection. Besides enabling new features, this reduces overhead and enables fair bandwi…

cs.NI202117 cited

Video Conferencing and Flow-Rate Fairness: A First Look at Zoom and the Impact of Flow-Queuing AQM

Constantin Sander, Ike Kunze, Klaus Wehrle +1

Congestion control is essential for the stability of the Internet and the corresponding algorithms are commonly evaluated for interoperability based on flow-rate fairness. In contr…

cs.NI201918 cited

DeePCCI: Deep Learning-based Passive Congestion Control Identification

Constantin Sander, Jan Rüth, Oliver Hohlfeld +1

Transport protocols use congestion control to avoid overloading a network. Nowadays, different congestion control variants exist that influence performance. Studying their use is t…