The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Analysis and design of an adaptive virtual queue (AVQ) algorithm for active queue management
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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Cites
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Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED
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Floyd, S. (1994) · ACM SIGCOMM Computer Communication Review · doi:10.1145/205511.205512 · Cited by 1,016
On designing improved controllers for AQM routers supporting TCP flows
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A control theoretic analysis of RED
Hollot, C. V., Misra, V., Towsley, D., & Gong, W. (2002) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2001.916647 · Cited by 923
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Misra, V., Gong, W.-B., & Towsley, D. (2000) · Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication · doi:10.1145/347059.347421 · Cited by 427
BLUE: A New Class of Active Queue Management Algorithms
Fengy, W.-C., Kandlurz, D. D., Sahaz, D., & Shiny, K. G. (1999) · Cited by 298
Random early marking for Internet congestion control
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Cited by
The BLUE active queue management algorithms
Feng, W.-C., Shin, K. G., Kandlur, D. D., & Saha, D. (2002) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2002.801399 · Cited by 576
End-to-end congestion control schemes: utility functions, random losses and ecn marks
Kunniyur, S., & Srikant, R. (2003) · IEEE/ACM Transactions on Networking · doi:10.1109/tnet.2003.818183 · Cited by 448
Self-citationTCP ex machina: computer-generated congestion control
Winstein, K., & Balakrishnan, H. (2013) · Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM · doi:10.1145/2486001.2486020 · Cited by 332
Network Optimization and Control
Shakkottai, S., & Srikant, R. (2007) · Foundations and Trends® in Networking · doi:10.1561/1300000007 · Cited by 320
Self-citationIAPI: An intelligent adaptive PI active queue management scheme
Sun, J., Chan, S., & Zukerman, M. (2012) · Computer Communications · doi:10.1016/j.comcom.2012.07.013 · Cited by 19
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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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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