Jacobson, V. Reported in Minutes of the Performance Working Group. Proceedings of the Cocoa Beach Internet Engineering Task Force. Corporation for National Research Initiatives, Reston, VA, 1989.

Google Scholar

[10]

Jacobson, V. Notes on using RED for queue management and congestion avoidance. Talk presented at North American Network Operators' Group (1998); ftp://ftp.ee.lbl.gov/talks/vj-nanog-red.pdf.

Google Scholar

[11]

Jacobson, V. A rant on queues. A talk presented at MIT Lincoln Labs, Lexington, MA, 2006; http://www.pollere.net/Pdfdocs/QrantJul06.pdf.

Google Scholar

[12]

Jacobson, V., Nichols, K. and Poduri, K. RED in a different light, 1999; http://www.cnaf.infn.it/~ferrari/papers/ispn/red_light_9_30.pdf.

Google Scholar

[13]

Kreibich, C. et. al. Netalyzr: Illuminating the edge network. In Proceedings of the Internet Measurement Conference, (Melbourne, Australia, 2010).

Digital Library

Google Scholar

[14]

Li, T. and Leith, D. Adaptive buffer sizing for TCP flows in 802.11e WLANs. In Proceedings of the 2008 Communications and Networking in China.

Google Scholar

[15]

Mankin, A. Random drop congestion control. In Proceedings of SIGCOMM '90.

Digital Library

Google Scholar

[16]

Mathis, M., Semke, J. and Mahdavi, J. The macroscopic behavior of the TCP congestion avoidance algorithm. ACM SIGCOMM Computer Communication Review 27, 3 (1997).

Digital Library

Google Scholar

[17]

Nagle, J. Congestion control in IP/TCP internetworks. RFC 896 (1984); http://www.ietf.org/rfc/rfc896.txt,.

Digital Library

Google Scholar

[18]

Network Simulator - ns-2; http://nsnam.isi.edu/nsnam/index.php/User_Information.

Google Scholar

[19]

http://www.pollere.net/CoDel.html.

Google Scholar

[20]

Vu-Brugier, G., et. al. 2007. A critique of recently proposed buffer-sizing strategies. ACM SIGCOMM Computer Communication Review 37(1).

Digital Library

Google Scholar

[21]

Weigle, M. C. 2002. Web traffic generation in ns-2 with PackMime-HTTP; http://www.cs.odu.edu/~mweigle/research/packmime.

Google Scholar

[22]

Feng, W. et. al. 2002. The BLUE Active Queue Management Algorithm. IEEE/ACM Transactions on Networking 10, 4 (2002), 513--528.

Digital Library

Google Scholar

Cited By

View all

ITO SKANAYA TNAKAO AOGUCHI MYAMAGUCHI S(2024)Deeply Programmable Application Switch for Performance Improvement of KVS in Data CenterIEICE Transactions on Information and Systems10.1587/transinf.2023DAP0009E107.D:5(659-673)Online publication date: 1-May-2024
https://doi.org/10.1587/transinf.2023DAP0009
Kfoury ECrichigno JBou-Harb E(2024)P4BS: Leveraging Passive Measurements From P4 Switches to Dynamically Modify a Router’s Buffer SizeIEEE Transactions on Network and Service Management10.1109/TNSM.2023.330633521:1(1082-1099)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1109/TNSM.2023.3306335
Hu JZeng CWang ZZhang JGuo KXu HHuang JChen K(2024)Load Balancing With Multi-Level Signals for Lossless Datacenter NetworksIEEE/ACM Transactions on Networking10.1109/TNET.2024.336633632:3(2736-2748)Online publication date: Jun-2024
https://doi.org/10.1109/TNET.2024.3366336
Show More Cited By

Index Terms

Controlling queue delay

Recommendations

Queue delay estimation and its application to TCP Vegas

This paper proposes a modified Vegas algorithm, which can be adjusted to take a fair share of the bandwidth compared to other transmission control protocols (TCPs). In order to do this, we investigate the maximum round-trip time (RTT) achievable in ...
Read More
Delay-based congestion avoidance for TCP

The set of TCP congestion control algorithms associated with TCP/Reno (e.g., slow-start and congestion avoidance) have been crucial to ensuring the stability of the Internet. Algorithms such as TCP/NewReno (which has been deployed) and TCP/Vegas (which ...
Read More
Delay-based TCP congestion avoidance: A network calculus interpretation and performance improvements

In delay-based TCP congestion avoidance mechanisms, a source adjusts its window size to adapt to changes in network conditions as measured through changing queueing delays. Although network calculus (NC) has been used to study window flow control and ...
Read More

Comments

Information & Contributors

Information

Published In

Communications of the ACM Volume 55, Issue 7

July 2012

120 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/2209249

Issue’s Table of Contents

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 2012

Published in CACM Volume 55, Issue 7

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article
Popular
Refereed

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

267
Total Citations
View Citations
7,186
Total Downloads

Downloads (Last 12 months)541
Downloads (Last 6 weeks)79

Other Metrics

View Author Metrics

Citations

Cited By

View all

ITO SKANAYA TNAKAO AOGUCHI MYAMAGUCHI S(2024)Deeply Programmable Application Switch for Performance Improvement of KVS in Data CenterIEICE Transactions on Information and Systems10.1587/transinf.2023DAP0009E107.D:5(659-673)Online publication date: 1-May-2024
https://doi.org/10.1587/transinf.2023DAP0009
Kfoury ECrichigno JBou-Harb E(2024)P4BS: Leveraging Passive Measurements From P4 Switches to Dynamically Modify a Router’s Buffer SizeIEEE Transactions on Network and Service Management10.1109/TNSM.2023.330633521:1(1082-1099)Online publication date: 1-Feb-2024
https://dl.acm.org/doi/10.1109/TNSM.2023.3306335
Hu JZeng CWang ZZhang JGuo KXu HHuang JChen K(2024)Load Balancing With Multi-Level Signals for Lossless Datacenter NetworksIEEE/ACM Transactions on Networking10.1109/TNET.2024.336633632:3(2736-2748)Online publication date: Jun-2024
https://doi.org/10.1109/TNET.2024.3366336
Song TKyung Y(2024)Deep-Reinforcement-Learning-Based Age-of-Information-Aware Low-Power Active Queue Management for IoT Sensor NetworksIEEE Internet of Things Journal10.1109/JIOT.2024.335541011:9(16700-16709)Online publication date: 1-May-2024
https://doi.org/10.1109/JIOT.2024.3355410
Kang LTian LHu Y(2024)A Programmable Packet Scheduling Method Based on Traffic Rate2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT)10.1109/ICCECT60629.2024.10545661(211-215)Online publication date: 26-Apr-2024
https://doi.org/10.1109/ICCECT60629.2024.10545661
Rodríguez-Pérez MHerrería-Alonso SCarlos López-Ardao JRodríguez-Rubio R(2024)End-to-end active queue management with Named-Data NetworkingJournal of Network and Computer Applications10.1016/j.jnca.2023.103772221:COnline publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1016/j.jnca.2023.103772
Lhamo OMa MDoan TScheinert TNguyen GReisslein MFitzek F(2024)RED-SP-CoDelComputer Communications10.1016/j.comcom.2023.11.026214:C(149-166)Online publication date: 12-Apr-2024
https://dl.acm.org/doi/10.1016/j.comcom.2023.11.026
T.A. KO.A. OO.O. AO.O. OR.O.A. O(2023)A Simulation-Based Comparative Study of Controlled Delay (Codel) with Random early Detection (Red) for Network Performance EvaluationBritish Journal of Computer, Networking and Information Technology10.52589/BJCNIT-NMHJ4S4Q6:1(1-10)Online publication date: 17-Jul-2023
https://doi.org/10.52589/BJCNIT-NMHJ4S4Q
Chydzinski A(2023)Loss Process at an AQM BufferJournal of Sensor and Actuator Networks10.3390/jsan1204005512:4(55)Online publication date: 10-Jul-2023
https://doi.org/10.3390/jsan12040055
Sakamoto KHayamizu YYamamoto M(2023)Toward a Resource Pooling Fairness: Balancing Congestion in Practical Congestion Control for Named-Data NetworkingIEICE Communications Express10.23919/comex.2023COL001512:12(615-619)Online publication date: Dec-2023
https://doi.org/10.23919/comex.2023COL0015
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Digital Edition

View this article in digital edition.

Digital Edition

Magazine Site

View this article on the magazine site (external)

Magazine Site

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Abstract

References

Cited By

Index Terms

Recommendations

Queue delay estimation and its application to TCP Vegas

Delay-based congestion avoidance for TCP

Delay-based TCP congestion avoidance: A network calculus interpretation and performance improvements

Comments

Information

Published In

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

PDF

eReader

Digital Edition

Magazine Site

Get Access

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations