Relevant bibliographies by topics / Multicast Congestion Control

Contents

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

Academic literature on the topic 'Multicast Congestion Control'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 September 2023

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Journal articles on the topic "Multicast Congestion Control"

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Singh, Karan, and Rama Shankar Yadav. "Efficient Multicast Congestion Control." Wireless Personal Communications 78, no. 2 (May 4, 2014): 1159–76. http://dx.doi.org/10.1007/s11277-014-1809-9.

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Li, Jiang, Murat Yuksel, Xingzhe Fan, and Shivkumar Kalyanaraman. "Generalized multicast congestion control." Computer Networks 51, no. 6 (April 2007): 1421–43. http://dx.doi.org/10.1016/j.comnet.2006.07.014.

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Long, Yan. "Evaluation on Multicast Congestion Control Scheme." Advanced Materials Research 805-806 (September 2013): 1941–47. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.1941.

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This paper presents a evaluation on existing multicast congestion control schemes. We evaluate several recently proposed schemes to summarize state of the art in this field. Solutions to typical problems in multicast congestion control, especially those in layered multicast, such as layer granularity, loss path multiplicity and receiver coordination, are also studied to motivate further research.
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Duan, Yingjie, Hong Ni, Xiaoyong Zhu, and Xu Wang. "A Single-Rate Multicast Congestion Control (SRMCC) Mechanism in Information-Centric Networking." Future Internet 14, no. 2 (January 25, 2022): 38. http://dx.doi.org/10.3390/fi14020038.

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Information-centric networking (ICN) is expected to be a candidate for future internet architecture, and it supports features such as multicast that improves bandwidth utilization and transmission efficiency. However, multicast itself does not provide congestion control. When multiple multicast groups coexist, multicast traffic may exhaust all network resources, and cause network congestion and packet loss. Additionally, traditional IP multicast congestion control mechanisms cannot be directly applied to ICN architecture. Therefore, it is necessary to consider an effective congestion control mechanism for ICN multicast. This paper proposes a single-rate multicast congestion control mechanism, called SRMCC. It supports router-assisted awareness of the network congestion state and congestion control message aggregation. Moreover, the fair shared rate estimation method is innovatively proposed to achieve protocol fairness. Most importantly, it adjusts the rate according to different congestion states indicated by the queue occupancy ratio. By introducing a rate selection factor, it can achieve a balance between packet loss rate and throughput. Experimental results show that our proposal outperforms other mechanisms in throughput, packet loss rate, total bandwidth utilization, and overhead, and achieves protocol fairness and better TCP friendliness.
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Gan, Yung-Sze, and Chen-Khong Tham. "Loss differentiated multicast congestion control." Computer Networks 41, no. 2 (February 2003): 161–76. http://dx.doi.org/10.1016/s1389-1286(02)00372-9.

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Li, Jiang, Murat Yuksel, and Shivkumar Kalyanaraman. "Explicit rate multicast congestion control." Computer Networks 50, no. 15 (October 2006): 2614–40. http://dx.doi.org/10.1016/j.comnet.2005.09.026.

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Bai, Baochun, Janelle Harms, and Yuxi Li. "Configurable active multicast congestion control." Computer Networks 52, no. 7 (May 2008): 1410–32. http://dx.doi.org/10.1016/j.comnet.2007.12.010.

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Manjul, Manisha, Rajesh Mishra, and Joytsna  . "Link Utilization Based Multicast Congestion Control." Communications and Network 05, no. 03 (2013): 649–53. http://dx.doi.org/10.4236/cn.2013.53b2116.

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Chen, Hualiang, Zhongxin Liu, Zengqiang Chen, and Zhuzhi Yuan. "Extending TCP congestion control to multicast." Computer Networks 51, no. 11 (August 2007): 3090–109. http://dx.doi.org/10.1016/j.comnet.2007.01.004.

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Paschos, Georgios S., Chih-Ping Li, Eytan Modiano, Kostas Choumas, and Thanasis Korakis. "In-Network Congestion Control for Multirate Multicast." IEEE/ACM Transactions on Networking 24, no. 5 (October 2016): 3043–55. http://dx.doi.org/10.1109/tnet.2015.2503261.

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Dissertations / Theses on the topic "Multicast Congestion Control"

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Onal, Kerem. "Internet Multicast Congestion Control." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/12604726/index.pdf.

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Congestion control is among the fundamental problems of Internet multicast. It is an active research area with many challenges. In this study, an introduction to Internet congestion control and a brief literature survey of current multicast congestion control protocols is presented. Then two recently proposed &ldquo
single-rate, end-to-end, rate based&rdquo
class of protocols, namely LESBCC and TFMCC are evaluated with respect to their intersession fairness (TCP-friendliness), smoothness and responsiveness criteria. Throughout the experiments, which are conducted using a widely accepted network simulation tool &lsquo
ns&rsquo
, different topologies have been employed.
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Zhang, Zaichen, and 張在琛. "Network-supported internet multicast congestion and error control." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B31243915.

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Kulatunga, Chamil. "Enforcing receiver-driven multicast congestion control using ECN-Nonce." Thesis, Available from the University of Aberdeen Library and Historic Collections Digital Resources, 2009. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?application=DIGITOOL-3&owner=resourcediscovery&custom_att_2=simple_viewer&pid=33532.

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Widmer, Jörg. "Equation based congestion control for unicast and multicast data streams." [S.l. : s.n.], 2003. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10605052.

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Puangpronpitag, Somnuk. "Design and performance evaluation of multicast congestion control for the Internet." Thesis, University of Leeds, 2003. http://etheses.whiterose.ac.uk/1312/.

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Multi-rate Multicast Congestion Control (MR-MCC) is a promising opportunity to tackle the multicast congestion control problem in huge and heterogeneous networks like the global Internet. However, it is not easy to provide an MR-MCC design with responsiveness, efficiency of network utilisation, low packet loss, scalability and fairness (including inter-protocol fairness, intra-protocol fairness, intra-session fairness and TCP-friendliness) as well as feasible implementation. This thesis is concerned with the design and performance evaluation of multi-rate multicast congestion control. We aim to address the problems faced by the previous proposals. In doing so, we have established a rigorous performance evaluation methodology via netwrok simulation, and defined a set of key evaluation criteria to test MR-MCC protocols. Then, we have undertaken a performance evaluation of the previously proposed MR-MCC protocols (RLM, RLC, FLID-DL and PLM). Having learnt from our simulation analysis of previous proposals, we propose our innovative design of an experimental MR-MCC protocol, called Explicit Rate Adjustment (ERA). The design goals are scalability, responsiveness, fast convergence, fairness (including intra-session fairness, intra-protocol fairness, and inter-protocol fairness, in particular TCP friendliness), efficiency in network utilisation, and simplicity to implement. We have also implemented our experimental MR-MCC protocol in the ns-2 network simulation package. Through simulation, we demonstrate the performance evaluation of our MR-MCC extensively and demonstrate that it provides the desirable properties mentioned previously.
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Sari, Riri Fitri. "Performance evaluation of active network-based unicast and multicast congestion control protocols." Thesis, University of Leeds, 2003. http://etheses.whiterose.ac.uk/1321/.

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This thesis investigates the application of the Active Networks (AN) paradigm in congestion control. ANs provide an alternative paradigm to solving network problems by allowing the network elements to perform computation. Thus, the AN is a promising paradigm to shorten the deployment time of new protocols. Congestion control is a vital element for the Internet to avoid undesirable situations such as congestion collapse. The complexity and importance of congestion control has attracted many researchers to approach it in different ways, i.e. queuing theory, control theory, and recently game theory (pricing). This thesis is concerned with the performance evaluation of AN-based congestion control protocols which have been classified according to their modes of operation, i.e. unicast, multicast single rate, and multicast multirate protocols. The research phase includes modelling and simulation experiments with the ns-2 network simulator. The first area of interest in this thesis is unicast congestion control protocols. We integrate, run and test the novel active queue management called Random Early Marking (REM) over an AN-based unicast congestion controlled network called Active Congestion Control Transmission Control Protocol. (ACC TCP). It can be concluded that the implementation of an ANs paradigm is congestion control, enhanced by the application of REM queuing policy, improves the performance of the network in terms of its low buffer occupancy and stability compared with the one using Random Early Detection (RED) queue management algorithm. Results of simulation studies comparing the performance of conventional protocols with those of AN-based protocols are presented. We investigate the TCP-friendliness behaviour of an AN-based single rate multicast congestion control called Active Error Recovery/Nominee Congestion Avoidance (AER/NCA), which uses active services to recover from loss at the point of loss and assists the congestion control. The use of AN helps the multicast application to achieve optimal data rates. We compare the results of AER/NCA TCP-friendliness to those of a single rate multicast protocols called Pragmatic General Multicast Congestion Control (PGMCC). Our simulation revealed that AER/NCA achieves the desirable property of TCP-friendliness. We also calculated AER/NCA’s fairness index. For multicast multirate congestion control protocols we compare an adaptive AN-based layered multicast protocol called ALMA (Active Layered Multicast Adaptation) with a non-active network-based one called Packet-pair Receiver-driven Layered Multicast (PLM). ALMA performs layered multicast congestion control using AN approach, whereas PLM uses packet-pair techniques and fair scheduler. Experiments results shows that ALMA reacts differently from PLM in sharing the bottleneck link with CBR and TCP flows. We found that ALMA has fast convergence properties and provides flexibility to manage the network using the price function. Our experiments show that ALMA is not a TCP-friendly protocol and has a low inter-protocol fairness index.
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Krob, Andrea Collin. "Adaptive Layered Multicast TCP-Friendly : análise e validação experimental." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2009. http://hdl.handle.net/10183/25492.

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Um dos obstáculos para o uso disseminado do multicast na Internet global é o desenvolvimento de protocolos de controle de congestionamento adequados. Um fator que contribui para este problema é a heterogeneidade de equipamentos, enlaces e condições de acesso dos receptores, a qual aumenta a complexidade de implementação e validação destes protocolos. Devido ao multicast poder envolver milhares de receptores simultaneamente, o desafio deste tipo de protocolo se torna ainda maior, pois além das questões relacionadas ao congestionamento da rede, é necessário considerar fatores como sincronismo, controle de feedbacks, equidade de tráfego, entre outros. Por esses motivos, os protocolos de controle de congestionamento multicast têm sido um tópico de intensa pesquisa nos últimos anos. Uma das alternativas para o controle de congestionamento multicast na Internet é o protocolo ALMTF (Adaptive Layered Multicast TCP-Friendly), o qual faz parte do projeto SAM (Sistema Adaptativo Multimídia). Uma vantagem desse algoritmo é inferir o nível de congestionamento da rede, determinando a taxa de recebimento mais apropriada para cada receptor. Além disso, ele realiza o controle da banda recebida, visando à justiça e a imparcialidade com os demais tráfegos concorrentes. O ALMTF foi desenvolvido originalmente em uma Tese de doutorado e teve a sua validação no simulador de redes NS-2 (Network Simulator). Este trabalho tem como objetivo estender o protocolo para uma rede real, implementando, validando os seus mecanismos e propondo novas alternativas que o adaptem para esse ambiente. Além disso, efetuar a comparação dos resultados reais com a simulação, identificando as diferenças e promovendo as pesquisas experimentais na área.
One of the obstacles for the widespread use of the multicast in the global Internet is the development of adequate protocols for congestion control. One factor that contributes for this problem is the heterogeneity of equipments, enlaces and conditions of access of the receivers, which increases the implementation and validation complexity of these protocols. Due to the number (thousands) of receivers simultaneously involved in multicast, the challenge of these protocols is even higher. Besides the issues related to the network congestion, it is necessary to consider factors such as synchronism, feedback control, fairness, among others. For these reasons, the multicast congestion control protocols have been a topic of intense research in recent years. The ALMTF protocol (Adaptive Layered Multicast TCP-Friendly), which is part of project SAM, is one of the alternatives for the multicast congestion control in the Internet. One advantage of this algorithm is its ability to infer the network congestion level, assigning the best receiving rate for each receptor. Besides that, the protocol manages the received rate, aiming to achieve fairness and impartiality with the competing network traffic. The ALMTF was developed originally in a Ph.D. Thesis and had its validation under NS-2 simulator. The goal this work is to extend the protocol ALMTF for a real network, validating its mechanisms and considering new alternatives to adapt it for this environment. Moreover, to make the comparison of the real results with the simulation, being identified the differences and promoting the experimental research in the area.
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Peradotto, Roberto. "Avaliação do protocolo multicast e PePcc para transmissões confiáveis na Internet." Universidade do Vale do Rio do Sinos, 2003. http://www.repositorio.jesuita.org.br/handle/UNISINOS/2209.

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Made available in DSpace on 2015-03-05T13:53:45Z (GMT). No. of bitstreams: 0 Previous issue date: 3
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Aplicações como a World-Wide Web, correio eletrônico e transferência de arquivos são a principal fonte de tráfego em redes de comunicação entre computadores hoje em dia. A tecnologia IP, base da Internet, não dispõe de reservas de recursos, e a divisão justa da capacidade da rede entre os fluxos que competem se dá através de mecanismos que devem estar presentes nos protocolos executados nas estações fim (hosts). Tal é denominado controle de congestionamento fim a fim. O tráfego na Internet é predominantemente composto por fluxos TCP, que é dotado de controle de congestionamento. Para o bom funcionamento da Internet, novos protocolos de transporte ou de aplicação devem incluir mecanismos de controle de congestionamento que sejam "amigáveis" ao TCP, ou seja, que não ocupem mais recursos do que deveriam. O surgimento de IP multicast viabilizou, no final nos anos 90, novas aplicações na Internet, como aplicações de trabalho em grupo, bancos de dados distribuídos, vídeo-conferência, etc. Muitas dessas aplicações
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Pandey, Manoj Kumar. "A Hop-by-Hop Architecture for Multicast Transport in Ad Hoc Wireless Networks." Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd3119.pdf.

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Shrinivas, V. Prasanna. "Pricing Multicast Network Services." Thesis, Indian Institute of Science, 2001. https://etd.iisc.ac.in/handle/2005/270.

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Multicast has long been considered an attractive service for the Internet for the provision of multiparty applications. For over a decade now multicast has been a proposed IETF standard. Though there is a strong industry push towards deploying multicast, there has been little multicast deployment by commercial Internet Service Providers (ISPs) and more importantly most end-users still lack multicast capabilities. Depending on the underlying network infrastructure, the ISP has several options of implementing his multicast capabilities. With significantly faster and more sophisticated protocols being designed and prototyped, it is expected that a whole new gamut of applications that are delay sensitive will come into being. However, the incentives to resolve the conflicting interests of the ISPs and the end-users have to be provided for successful implementation of these protocols. Thus we arrive at the following economic questions: What is the strategy that will enable the ISP recover his costs ? How can the end-user be made aware of the cost of his actions ? Naturally, the strategies of the ISP and the end-user depend on each other and form an economic game. The research problems addressed in this thesis are: A pricing model that is independent of the underlying transmission protocols is prefered. We have proposed such a pricing scheme for multicast independent of the underlying protocols, by introducing the concept of pricing points* These pricing points provide a range of prices that the users can expect during a particular time period and tune their usage accordingly. Our pricing scheme makes both the sender and receiver accountable. Our scheme also provides for catering to heterogeneous users and gives incentive for differential pricing. We explore a number of formulations of resource allocation problems arising in communication networks as optimization models. Optimization-based methods were only employed for unicast congestion control. We have extended this method for single rate multicast. We have also devised an optimization-based approach for multicast congestion control that finds an allocation rate to maximize the social welfare. Finally we also show that the session-splitting problem can also be cast as an optimization problem. The commonly used "max-min" fairness criteria suffers from serious limitations like discriminating sessions that traverse large number of links and poor network utilization. We provide an allocation scheme that reduces discrimination towards multicast sessions that traverse many links and also improves network utilization.
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Book chapters on the topic "Multicast Congestion Control"

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Li, Jiang, and Shivkumar Kalyanaraman. "Generalized Multicast Congestion Control." In Lecture Notes in Computer Science, 155–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39405-1_14.

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Peng, Jun, and Biplab Sikdar. "Routing-Based Video Multicast Congestion Control." In Management of Multimedia on the Internet, 328–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45812-3_26.

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Sedano, Marifeli, Arturo Azcorra, and María Calderón. "Performance of Active Multicast Congestion Control." In Active Networks, 145–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-40057-5_11.

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Byers, John, and Gu-In Kwon. "STAIR: Practical AIMD Multirate Multicast Congestion Control." In Lecture Notes in Computer Science, 100–112. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45546-9_8.

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Naamani, A. A. Al, A. M. Al Naamany, and H. Bourdoucen. "TCP Based Layered Multicast Network Congestion Control." In Telecommunications and Networking - ICT 2004, 1218–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-27824-5_158.

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Li, Yuliang, Alistair Munro, and Dritan Kaleshi. "Multi-rate Congestion Control over IP Multicast." In Networking - ICN 2005, 1012–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31957-3_115.

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Shapiro, Jonathan K., Don Towsley, and Jim Kurose. "Optimization-Based Congestion Control for Multicast Communications." In NETWORKING 2002: Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications, 423–42. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47906-6_34.

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Iannaccone, Gianluca, and Luigi Rizzo. "Fairness of a Single-Rate Multicast Congestion Control Scheme." In Lecture Notes in Computer Science, 309–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45400-4_21.

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Singh, Karan, and Rama Shankar Yadav. "Integrated Approach for Multicast Source Authentication and Congestion Control." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 16–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37949-9_2.

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Zhang, Jun-Chao, Rong-Xiang Zhao, and Jun-Jie Chen. "A Hop to Hop Controlled Hierarchical Multicast Congestion Control Mechanism." In Lecture Notes in Electrical Engineering, 363–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21697-8_46.

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Conference papers on the topic "Multicast Congestion Control"

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Liwen, Huo, and Jin Yi. "Research on Multicast Congestion Control." In 2015 IEEE 12th Intl. Conf. on Ubiquitous Intelligence and Computing, 2015 IEEE 12th Intl. Conf. on Autonomic and Trusted Computing and 2015 IEEE 15th Intl. Conf. on Scalable Computing and Communications and its Associated Workshops (UIC-ATC-ScalCom). IEEE, 2015. http://dx.doi.org/10.1109/uic-atc-scalcom-cbdcom-iop.2015.165.

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Rizzo, Luigi. "Multicast congestion control (invited talk)." In NGC 2000. New York, New York, USA: ACM Press, 2000. http://dx.doi.org/10.1145/354644.354658.

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Lucas, Vincent, Jean-Jacques Pansiot, Dominique Grad, and Benoit Hilt. "Fair Multicast Congestion Control (M2C)." In IEEE INFOCOM 2009 - IEEE Conference on Computer Communications Workshops. IEEE, 2009. http://dx.doi.org/10.1109/infcomw.2009.5072144.

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Kwon, G. I., and J. W. Byers. "Smooth multirate multicast congestion control." In IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies. IEEE, 2003. http://dx.doi.org/10.1109/infcom.2003.1208939.

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Martinez-Bonastre, Oscar, and Carlos E. Palau. "Multicast congestion control for content distribution." In the 4th edition of the UPGRADE-CN workshop. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1552486.1552512.

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Tan, Liansheng, and Qin Liu. "On Congestion Control in Multicast Networks." In TENCON 2005 - 2005 IEEE Region 10 Conference. IEEE, 2005. http://dx.doi.org/10.1109/tencon.2005.301297.

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Moh, Melody, and Shuqin Zhang. "Rate-based reliable multicast congestion control." In ITCom 2001: International Symposium on the Convergence of IT and Communications, edited by Sonia Fahmy and Kihong Park. SPIE, 2001. http://dx.doi.org/10.1117/12.434412.

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Bing, Zhang, Yuan Bing, and Liu Zengji. "Fixed-rate layered multicast congestion control." In Optics East 2006, edited by Mohammed Atiquzzaman and Sergey I. Balandin. SPIE, 2006. http://dx.doi.org/10.1117/12.686626.

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Huang, Weili, and Xiangguang Kong. "Research on layered multicast congestion control." In 2009 ISECS International Colloquium on Computing, Communication, Control, and Management (CCCM). IEEE, 2009. http://dx.doi.org/10.1109/cccm.2009.5267481.

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Jagannathan, S., and K. C. Almeroth. "Using tree topology for multicast congestion control." In Proceedings International Conference on Parallel Processing. IEEE, 2001. http://dx.doi.org/10.1109/icpp.2001.952076.

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Reports on the topic "Multicast Congestion Control"

1

Widmer, J., and M. Handley. TCP-Friendly Multicast Congestion Control (TFMCC): Protocol Specification. RFC Editor, August 2006. http://dx.doi.org/10.17487/rfc4654.

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