The BLUE active queue management algorithms
By Wu-chang Feng, Kang G. Shin, Dilip D. Kandlur, D. Saha. TNET, 2002
615 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/44373e0f9273d87704b77bd957fea90e9108feae
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
- Mohammad Alizadeh
- Anirudh Sivaraman
- Hari Balakrishnan
- Keith Winstein
- Changhoon Kim
- George Varghese
- Nick McKeown
- Christian Esteve Rothenberg
Citations in the corpus
- An experimental study of the learnability of congestion control (2014, background): “line of work has explored the use of in-network algorithms running at bottleneck routers to help perform this function more efficiently [11, 10, 9, 18, 23, 21, 16].”
- Stochastic Forecasts Achieve High Throughput and Low Delay over Cellular Networks (2013, neutral): “Active queue management schemes such as RED [8] and its variants, BLUE [6], AVQ [14], etc., drop or mark packets using local indications of upcoming congestion at a bottleneck queue, with the idea that endpoints react to these signals before queues grow significantly.”
- PIE: A lightweight control scheme to address the bufferbloat problem (2013, background): “Active queue management (AQM) schemes, such as RED [3], BLUE [4], PI [5], AVQ [6], etc, have been around for well over a decade.”
- Theory and Practice of Bloom Filters for Distributed Systems (2012, background): “Then if the minimum counter exceeds some threshold value, the flow is marked as a heavy flow [100].”
- Packet Transactions: High-Level Programming for Line-Rate Switches (2015, background): “l-plane mechanisms. This paper focuses on data-plane algorithms. These algorithms process and transform packets, creating and maintaining state in the switch. Examples include active queue management [53,52, 67,74,76], scheduling [88], congestion control with switch feedback [64,93,60,28], network m”
- TCP ex machina: computer-generated congestion control (2013, methodology): “End-to-end control may be improved with explicit router participation, as in Explicit Congestion Notification (ECN) [15], VCP [44], active queue management schemes like RED [17], BLUE [14], CHOKe [35], AVQ [27], and CoDel [33] fair queueing, and explicit methods such as XCP [24] and RCP [38].”