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Analysis and design of an adaptive virtual queue (AVQ) algorithm for active queue management

Kunniyur, Srisankar, Srikant, R.·2001·Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications

Abstract

Virtual Queue-based marking schemes have been recently proposed for AQM (Active Queue Management) in Internet routers. We consider a particular scheme, which we call the Adaptive Virtual Queue (AVQ), and study its following properties: stability in the presence of feedback delays, its ability to maintain small queue lengths and its robustness in the presence of extremely short flows (the so-called web mice). Using a mathematical tool motivated by the earlier work of Hollot et al, we present a simple rule to design the parameters of the AVQ algorithm. We then compare its performance through simulation with several well-known AQM schemes such as RED, REM, PI controller and a non-adaptive virtual queue algorithm. With a view towards implementation, we show that AVQ can be implemented as a simple token bucket using only a few lines of code.

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Metadata

Authors
Kunniyur, S., & Srikant, R.
Venue
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Publisher
ACM
Published
2001-08-27
Pages
123-134
OpenAlex
W2155393670
Cited by
490
References
11
FWCI
23.32
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Analysis and design of an adaptive virtual queue (AVQ) algorithm for active queue management. https://app.cochat.ai/papers/10.1145/383059.383069
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Kunniyur, S., & Srikant, R. (2001). Analysis and design of an adaptive virtual queue (AVQ) algorithm for active queue management. Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications. https://doi.org/10.1145/383059.383069

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.