Controlling high-bandwidth flows at the congested router
By Ratul Mahajan, Sally Floyd, David Wetherall. Proceedings Ninth International Conference on Network Protocols. ICNP 2001, 2001
408 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/01c2cb096800cc94fa07d7ba00aab20b4edcc440
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- A. López-Ortiz
- Scott Shenker
- J. Ian Munro
- Aleksandar Kuzmanovic
- Erik D. Demaine
- Vern Paxson
- Edward W. Knightly
- Ion Stoica
In Computer Networks and Communications
- Scott Shenker
- Ion Stoica
- Hui Zhang
- Edward W. Knightly
- Aleksandar Kuzmanovic
- A. López-Ortiz
- J. Ian Munro
- Erik D. Demaine
Citations in the corpus
- Frequency Estimation of Internet Packet Streams with Limited Space (2002, methodology): “However, this sampling method is often unsatisfactory given the nature of Internet tra‐c [9, 23 ].”
- Low-rate TCP-targeted denial of service attacks and counter strategies (2003, methodology): “Finally, as the number of .ows increases, CHOKe (like RED-PD) becomes more and more successful in smoothing the TCP aggregate null frequencies (not shown).”
- Core-stateless fair queueing: a scalable architecture to approximate fair bandwidth allocations in high-speed networks (2003, methodology): “In the identification approach, a router uses a lightweight detection algorithm to identify ill-behaved (unfriendly) flows [11], [ 21 ].”
- On the characteristics and origins of internet flow rates (2002, background): “algorithms have been proposed, and the performance and scalability of some of these algorithm depends on the nature of the flow rates seen at routers [9, 10, 14].”