The NewReno Modification to TCP's Fast Recovery Algorithm

By Thomas R. Henderson, Sally Floyd, A. Gurtov, Yoshifumi Nishida. Request for Comments, 2012

412 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/dd76211b95e8fcb353b2f3a606f91e85868ae379

How researchers see this paper

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

In Computer Networks and Communications

1. Mohammad Ali Salahuddin
2. Sara Ayoubi
3. A. Afanasyev
4. Peter L. Reiher
5. Raouf Boutaba
6. Leonard Kleinrock
7. Neil Tilley
8. Noura Limam

Citations in the corpus

• A comprehensive survey on machine learning for networking: evolution, applications and research opportunities (2018, background): “The authors continue on to improve TCP with the Boosting DT classifier, which exhibit throughput gains over the standard TCP-NewReno [185] and TCP-Veno.”
• Host-to-Host Congestion Control for TCP (2010, methodology): “NewReno modifies only the Fast Recovery algorithm by improving its response in the event of multiple losses.”