Relevant bibliographies by topics / Active queue management (AQM)

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Active queue management (AQM)'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Active queue management (AQM)"

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Chydziñski, Andrzej, and Łukasz Chróst. "Analysis of AQM queues with queue size based packet dropping." International Journal of Applied Mathematics and Computer Science 21, no. 3 (2011): 567–77. http://dx.doi.org/10.2478/v10006-011-0045-7.

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Analysis of AQM queues with queue size based packet dropping Queueing systems in which an arriving job is blocked and lost with a probability that depends on the queue size are studied. The study is motivated by the popularity of Active Queue Management (AQM) algorithms proposed for packet queueing in Internet routers. AQM algorithms often exploit the idea of queue-size based packet dropping. The main results include analytical solutions for queue size distribution, loss ratio and throughput. The analytical results are illustrated via numerical examples that include some commonly used blocking
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Marek, Dariusz, Jakub Szyguła, Adam Domański, Joanna Domańska, Katarzyna Filus, and Marta Szczygieł. "Adaptive Hurst-Sensitive Active Queue Management." Entropy 24, no. 3 (2022): 418. http://dx.doi.org/10.3390/e24030418.

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An Active Queue Management (AQM) mechanism, recommended by the Internet Engineering Task Force (IETF), increases the efficiency of network transmission. An example of this type of algorithm can be the Random Early Detection (RED) algorithm. The behavior of the RED algorithm strictly depends on the correct selection of its parameters. This selection may be performed automatically depending on the network conditions. The mechanisms that adjust their parameters to the network conditions are called the adaptive ones. The example can be the Adaptive RED (ARED) mechanism, which adjusts its parameter
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Szyguła, Jakub, Adam Domański, Joanna Domańska, Dariusz Marek, Katarzyna Filus, and Szymon Mendla. "Supervised Learning of Neural Networks for Active Queue Management in the Internet." Sensors 21, no. 15 (2021): 4979. http://dx.doi.org/10.3390/s21154979.

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The paper examines the AQM mechanism based on neural networks. The active queue management allows packets to be dropped from the router’s queue before the buffer is full. The aim of the work is to use machine learning to create a model that copies the behavior of the AQM PIα mechanism. We create training samples taking into account the self-similarity of network traffic. The model uses fractional Gaussian noise as a source. The quantitative analysis is based on simulation. During the tests, we analyzed the length of the queue, the number of rejected packets and waiting times in the queues. The
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Fajri, Misbahul, Anita Ratnasari, and Yani Prabowo. "Implementasi Active Queue Management pada Jaringan Bottleneck." InComTech : Jurnal Telekomunikasi dan Komputer 13, no. 1 (2023): 80. http://dx.doi.org/10.22441/incomtech.v13i1.16086.

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Teknologi TCP end-to-end congestion control hanya menangani kemacetan jaringan dari suatu host tetapi tidak pada jaringan atau intermediate network, oleh karena itu teknologi Active Queue Management (AQM) dikembangkan untuk mengantisipasi kemacetan didalam jaringan yaitu pada router. AQM dapat mengatasi buffer overflow pada router dan mencegah terjadinya masalah sinkronisasi pada jaringan yang padat, yaitu dengan mendeteksi sebelum terjadi kemacetan jaringan. AQM RED (random early detection) dikembangkan dengan pendekatan heuristik untuk mengantikan kekurangan mekanisme Droptail pada buffer ro
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Ryu, Seungwan, Christopher Rump, and Chunming Qiao. "Advances in Active Queue Management (AQM) Based TCP Congestion Control." Telecommunication Systems 25, no. 3/4 (2004): 317–51. http://dx.doi.org/10.1023/b:tels.0000014788.49773.70.

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Abualhaj, Mosleh M., Mayy M. Al-Tahrawi, Abdelrahman H. Hussein, and Sumaya N. Al-Khatib. "Fuzzy-Logic Based Active Queue Management Using Performance Metrics Mapping into Multi-Congestion Indicators." Cybernetics and Information Technologies 21, no. 2 (2021): 29–44. http://dx.doi.org/10.2478/cait-2021-0017.

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Abstract The congestion problem at the router buffer leads to serious consequences on network performance. Active Queue Management (AQM) has been developed to react to any possible congestion at the router buffer at an early stage. The limitation of the existing fuzzy-based AQM is the utilization of indicators that do not address all the performance criteria and quality of services required. In this paper, a new method for active queue management is proposed based on using the fuzzy logic and multiple performance indicators that are extracted from the network performance metrics. These indicat
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Baklizi, Mahmoud. "Weight Queue Dynamic Active Queue Management Algorithm." Symmetry 12, no. 12 (2020): 2077. http://dx.doi.org/10.3390/sym12122077.

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The current problem of packets generation and transformation around the world is router congestion, which then leads to a decline in the network performance in term of queuing delay (D) and packet loss (PL). The existing active queue management (AQM) algorithms do not optimize the network performance because these algorithms use static techniques for detecting and reacting to congestion at the router buffer. In this paper, a weight queue active queue management (WQDAQM) based on dynamic monitoring and reacting is proposed. Queue weight and the thresholds are dynamically adjusted based on the t
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Sana, Sabah Sabry, and Mahdi Kaittan Nada. "Grey wolf optimizer based fuzzy-PI active queue management design for network congestion avoidance." Indonesian Journal of Electrical Engineering and Computer Science (IJEECS) 18, no. 1 (2020): 199–208. https://doi.org/10.11591/ijeecs.v18.i1.pp199-208.

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Congestion is one of the most important issues in communication networks which has attracted much research attention. To ensure a stable TCP network, we can use active queue management (AQM for early congestion detection and router queue length regulation. In this study, it was proposed to use the Grey Wolf Optimizer (GWO) algorithm in designing a fuzzy proportional integral (fuzzy-PI) controller as a novel AQM for internet routers congestion control and for achieving a low steady-state error and fast response. The suggested Fuzzy logic-based network traffic control strategy permit us to deplo
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Bisoy, Sukant Kishoro, and Prasant Kumar Pattnaik. "RQ-AQM: a rate and queue-based active queue management using feedback control theory." International Journal of Communication Networks and Distributed Systems 21, no. 2 (2018): 266. http://dx.doi.org/10.1504/ijcnds.2018.094204.

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Bisoy, Sukant Kishoro, and Prasant Kumar Pattnaik. "RQ-AQM: a rate and queue-based active queue management using feedback control theory." International Journal of Communication Networks and Distributed Systems 21, no. 2 (2018): 266. http://dx.doi.org/10.1504/ijcnds.2018.10014494.

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Dissertations / Theses on the topic "Active queue management (AQM)"

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Phirke, Vishal Vasudeo. "Traffic Sensitive Active Queue Management for Improved Quality of Service." Digital WPI, 2002. https://digitalcommons.wpi.edu/etd-theses/780.

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The Internet, traditionally FTP, e-mail and Web traffic, is increasingly supporting emerging applications such as IP telephony, video conferencing and online games. These new genres of applications have different requirements in terms of throughput and delay than traditional applications. For example, interactive multimedia applications, unlike traditional applications, have more stringent delay constraints and less stringent loss constraints. Unfortunately, the current Internet offers a monolithic best-effort service to all applications without considering their specific requirements. Adaptiv
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Mohamed, Mahmud H. Etbega. "Some Active Queue Management Methods for Controlling Packet Queueing Delay. Design and Performance Evaluation of Some New Versions of Active Queue Management Schemes for Controlling Packet Queueing Delay in a Buffer to Satisfy Quality of Service Requirements for Real-time Multimedia Applications." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4258.

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Traditionally the Internet is used for the following applications: FTP, e-mail and Web traffic. However in the recent years the Internet is increasingly supporting emerging applications such as IP telephony, video conferencing and online games. These new applications have different requirements in terms of throughput and delay than traditional applications. For example, interactive multimedia applications, unlike traditional applications, have more strict delay constraints and less strict loss constraints. Unfortunately, the current Internet offers only a best-effort service to all application
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Li, Zhi. "Fuzzy logic based robust control of queue management and optimal treatment of traffic over TCP/IP networks." University of Southern Queensland, Faculty of Sciences, 2005. http://eprints.usq.edu.au/archive/00001461/.

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Improving network performance in terms of efficiency, fairness in the bandwidth, and system stability has been a research issue for decades. Current Internet traffic control maintains sophistication in end TCPs but simplicity in routers. In each router, incoming packets queue up in a buffer for transmission until the buffer is full, and then the packets are dropped. This router queue management strategy is referred to as Drop Tail. End TCPs eventually detect packet losses and slow down their sending rates to ease congestion in the network. This way, the aggregate sending rate converges to the
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Al-Hammouri, Ahmad Tawfiq. "INTERNET CONGESTION CONTROL: COMPLETE STABILITY REGION FOR PI AQM AND BANDWIDTH ALLOCATION IN NETWORKED CONTROL." online version, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=case1189088621.

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Wang, Lan. "Performance modeling of congestion control and resource allocation under heterogeneous network traffic : modeling and analysis of active queue management mechanism in the presence of poisson and bursty traffic arrival processes." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4455.

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Along with playing an ever-increasing role in the integration of other communication networks and expanding in application diversities, the current Internet suffers from serious overuse and congestion bottlenecks. Efficient congestion control is fundamental to ensure the Internet reliability, satisfy the specified Quality-of-Service (QoS) constraints and achieve desirable performance in response to varying application scenarios. Active Queue Management (AQM) is a promising scheme to support end-to-end Transmission Control Protocol (TCP) congestion control because it enables the sender to react
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Fares, Rasha H. A. "Performance modelling and analysis of congestion control mechanisms for communication networks with quality of service constraints. An investigation into new methods of controlling congestion and mean delay in communication networks with both short range dependent and long range dependent traffic." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/5435.

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Active Queue Management (AQM) schemes are used for ensuring the Quality of Service (QoS) in telecommunication networks. However, they are sensitive to parameter settings and have weaknesses in detecting and controlling congestion under dynamically changing network situations. Another drawback for the AQM algorithms is that they have been applied only on the Markovian models which are considered as Short Range Dependent (SRD) traffic models. However, traffic measurements from communication networks have shown that network traffic can exhibit self-similar as well as Long Range Dependent (LRD) pr
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Fares, Rasha Hamed Abdel Moaty. "Performance modelling and analysis of congestion control mechanisms for communication networks with quality of service constraints : an investigation into new methods of controlling congestion and mean delay in communication networks with both short range dependent and long range dependent traffic." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/5435.

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Active Queue Management (AQM) schemes are used for ensuring the Quality of Service (QoS) in telecommunication networks. However, they are sensitive to parameter settings and have weaknesses in detecting and controlling congestion under dynamically changing network situations. Another drawback for the AQM algorithms is that they have been applied only on the Markovian models which are considered as Short Range Dependent (SRD) traffic models. However, traffic measurements from communication networks have shown that network traffic can exhibit self-similar as well as Long Range Dependent (LRD) pr
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Chung, Jae Won. "Congestion control for streaming media." Link to electronic thesis, 2005. http://www.wpi.edu/Pubs/ETD/Available/etd-081805-084831/.

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Dissertation (Ph.D.) -- Worcester Polytechnic Institute.<br>Keywords: streaming media; streaming transport protocol; active queue management (AQM); Internet congestion control. Includes bibliographical references (p. 236-248).
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Nikaeen, Ramin. "Combined Queue-Rate Active Queue Management for Internet congestion control." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/MQ63024.pdf.

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Santi, Juliana de 1982. "Gerenciamento ativo de filas para o protocolo "High Speed Transmission Control Protocol" em redes com produto banda-atraso elevado." [s.n.], 2008. http://repositorio.unicamp.br/jspui/handle/REPOSIP/276151.

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Orientador: Nelson Luis Saldanha da Fonseca<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Instituto de Computação<br>Made available in DSpace on 2018-08-13T10:35:13Z (GMT). No. of bitstreams: 1 Santi_Julianade_M.pdf: 1658984 bytes, checksum: 8a9f078587406a06815484e4fe057f7d (MD5) Previous issue date: 2008<br>Resumo: A utilização eficiente da banda passante em redes de alta velocidade e grandes atrasos, denominadas redes com produto banda-atraso elevado (PBA), tornou-se um grande desafio. Isto ocorre devido aos ajustes do protocolo Transmission Control Protocol (TCP). O High
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Books on the topic "Active queue management (AQM)"

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Nikaeen, Ramin. Combined queue-rate active queue management for internet congestion control. National Library of Canada, 2001.

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Fast Active Queue Management Stability Transmission Control Protocol (Fast TCP). GRIN Verlag GmbH, 2017.

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Active Queue Management Mechanisms for Real-Time Traffic in MANETs. Storming Media, 2001.

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Alasem, Rafe. Intelligent Traffic Management Schemes in TCP/IP Networks: Performance Evaluation of Active Queue Management Schemes based on Control Theory and AI. LAP Lambert Academic Publishing, 2011.

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Book chapters on the topic "Active queue management (AQM)"

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Menth, Michael, and Sebastian Veith. "Active Queue Management Based on Congestion Policing (CP-AQM)." In Lecture Notes in Computer Science. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74947-1_12.

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Chatranon, Gwyn, Miguel A. Labrador, and Sujata Banerjee. "A Credit-Based Active Queue Management (AQM) Mechanism to Achieve Fairness in the Internet." In NETWORKING 2005. Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11422778_75.

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George, Jean, and R. Santhosh. "Congestion Control Mechanism for Unresponsive Flows in Internet Through Active Queue Management System (AQM)." In Mobile Computing and Sustainable Informatics. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1866-6_58.

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Jalili-Kharaajoo, M. "Sliding Mode Queue Management in TCP/AQM Networks." In Telecommunications and Networking - ICT 2004. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27824-5_86.

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Jalili-Kharaajoo, Mahdi. "Adaptive Fuzzy Queue Management and Congestion Avoidance in TCP/AQM Networks." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30233-9_15.

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Singha, Soamdeep, Biswapati Jana, Sharmistha Jana, and Niranjan Kumar Mandal. "An Innovative Active Queue Management Model Through Threshold Adjustment Using Queue Size." In Proceedings of International Conference on Advanced Computing Applications. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5207-3_23.

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Che, Lichang, and Bin Qiu. "Fuzzy Predictive Preferential Dropping for Active Queue Management." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552451_44.

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Kind, Andreas, and Bernard Metzler. "Rate-Based Active Queue Management with Token Buckets." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45076-4_18.

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Li, Zhi, and Zhongwei Zhang. "A Coupled Fuzzy Logic Control for Routers’ Queue Management over TCP/AQM Networks." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552451_47.

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Quoc, Nguyen Kim, Vo Thanh Tu, and Nguyen Thuc Hai. "Fuzzy Logic Control for SFB Active Queue Management Mechanism." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14227-2_11.

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Conference papers on the topic "Active queue management (AQM)"

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Saleh, Saad, Sunny Shu, and Boris Koldehofe. "dAQM: Derivative-Based Active Queue Management." In 2024 IFIP Networking Conference (IFIP Networking). IEEE, 2024. http://dx.doi.org/10.23919/ifipnetworking62109.2024.10619831.

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Shao, Chenchen, and Bo Chen. "A packet priority-aware active queue management." In 4th International Conference on Green Communication, Network, and Internet of Things (CNIoT 2024), edited by Xiangjie Kong and Cheng Siong Chin. SPIE, 2024. http://dx.doi.org/10.1117/12.3052758.

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Shah, K., S. Bohacek, and E. Jonckheere. "On the performance limitation of active queue management (AQM)." In 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601). IEEE, 2004. http://dx.doi.org/10.1109/cdc.2004.1428819.

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Xue, Y., H. V. Nguyen, and K. Nahrstedt. "CA-AQM: Channel-Aware Active Queue Management for Wireless Networks." In 2007 IEEE International Conference on Communications. IEEE, 2007. http://dx.doi.org/10.1109/icc.2007.788.

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Xunhe Yin, Qingquan Cui, Xianglong Meng, Yongkang Xiao, and Y. D. Song. "An active queue management (AQM) scheme based on modified Smith Predictor." In 2009 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2009. http://dx.doi.org/10.1109/ivs.2009.5164382.

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Chait, Yossi, Salomon Oldak, C. V. Hollot, and Vishal Misra. "Adaptive AQM Routers Supporting TCP Flows." In ASME 2001 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/imece2001/dsc-24582.

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Abstract This paper describes the development of an adaptive algorithm for active queue management (AQM) routers supporting a dynamically varying number of long-lived TCP flows. We use a nonlinear dynamic model of TCP behavior which was recently developed from fluid-flow and stochastic differential equation analysis. We first show that the high-frequency gain of the linearized plant model is inversely proportional to the network load factor which can easily vary by an order of magnitude. The motivation for adaptation follows from the direct relation between the plant’s high-frequency gain and
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Havey, Daniel M., and Kevin C. Almeroth. "Active Sense Queue Management (ASQM)." In 2015 IFIP Networking Conference (IFIP Networking). IEEE, 2015. http://dx.doi.org/10.1109/ifipnetworking.2015.7145297.

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Tsung-Yen Chen, Chang-Kuo Chen, Jun-Juh Yan, and Teh-Lu Liao. "Robust active queue management controller design for a stochastic TCP/AQM system." In 2009 International Conference on Networking, Sensing and Control (ICNSC). IEEE, 2009. http://dx.doi.org/10.1109/icnsc.2009.4919335.

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Du, Xinle, Tong Li, Lei Xu, et al. "R-AQM: Reverse ACK Active Queue Management in Multi-tenant Data Centers." In 2021 IEEE 29th International Conference on Network Protocols (ICNP). IEEE, 2021. http://dx.doi.org/10.1109/icnp52444.2021.9651922.

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Hassan, Suhaidi, Atheer F. Hassan, and Suki Arif. "HF-AQM: An efficient active queue management scheme for wireless local area network environment." In TENCON 2017 - 2017 IEEE Region 10 Conference. IEEE, 2017. http://dx.doi.org/10.1109/tencon.2017.8228402.

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Reports on the topic "Active queue management (AQM)"

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Ros, D. Characterization Guidelines for Active Queue Management (AQM). Edited by N. Kuhn, P. Natarajan, and N. Khademi. RFC Editor, 2016. http://dx.doi.org/10.17487/rfc7928.

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De Schepper, K., and G. White. Dual-Queue Coupled Active Queue Management (AQM) for Low Latency, Low Loss, and Scalable Throughput (L4S). Edited by B. Briscoe. RFC Editor, 2023. http://dx.doi.org/10.17487/rfc9332.

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White, G., and R. Pan. Active Queue Management (AQM) Based on Proportional Integral Controller Enhanced PIE) for Data-Over-Cable Service Interface Specifications (DOCSIS) Cable Modems. RFC Editor, 2017. http://dx.doi.org/10.17487/rfc8034.

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Nichols, K., and V. Jacobson. Controlled Delay Active Queue Management. Edited by A. McGregor and J. Iyengar. RFC Editor, 2018. http://dx.doi.org/10.17487/rfc8289.

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Jou, Jia-Shiang, and John S. Baras. A Parallel Virtual Queue Structure for Active Queue Management. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada439709.

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Baker, F., and G. Fairhurst, eds. IETF Recommendations Regarding Active Queue Management. RFC Editor, 2015. http://dx.doi.org/10.17487/rfc7567.

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Hoeiland-Joergensen, T., P. McKenney, D. Taht, J. Gettys, and E. Dumazet. The Flow Queue CoDel Packet Scheduler and Active Queue Management Algorithm. RFC Editor, 2018. http://dx.doi.org/10.17487/rfc8290.

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