Academic literature on the topic 'Delay-based congestion control'

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Journal articles on the topic "Delay-based congestion control"

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Guo, Wenlan, Jin Huang, and Yun Zhang. "Delay-based Congestion Control for Multipath TCP." International Journal of Future Generation Communication and Networking 7, no. 1 (2014): 97–104. http://dx.doi.org/10.14257/ijfgcn.2014.7.1.10.

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Haeri, Mohammad, and Amir Hamed Mohsenian Rad. "Adaptive model predictive TCP delay-based congestion control." Computer Communications 29, no. 11 (2006): 1963–78. http://dx.doi.org/10.1016/j.comcom.2005.12.004.

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Yuan, Cao, and Ya Qin Li. "A New Delay-Based Congestion Control for Ad-Hoc Wireless Network." Applied Mechanics and Materials 160 (March 2012): 223–26. http://dx.doi.org/10.4028/www.scientific.net/amm.160.223.

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The traditional congestion control mechanism of transport control protocol (TCP) has been proved cannot satisfy the wireless scenario. The extensive research has been done to understand the drawback of TCP in wireless networks. In this paper, we proposed a new congestion control algorithms for mobile ad-hoc networks (MANET) at the TCP sender side which efficiently adapts to the maximum transmission rate of a mobile wireless link, the new algorithms follow the idea of FAST TCP which uses delay as congestion measure. However, FAST TCP has limitations when used over a dynamic mobile wireless link
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Deepak, Kanojia. "Hybrid Congestion Control Mechanisms for Next-Generation Communication Networks." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 14, no. 3 (2025): 9–14. https://doi.org/10.35940/ijitee.B1034.14030225.

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<strong>Abstract: </strong>In the rapidly evolving realm of next-generation communication systems, characterized by ultra-low latency and high-speed data transmission, effectively managing network congestion remains a critical challenge. Traditional congestion control mechanisms often struggle to meet the demands of these advanced environments. This paper presents a novel approach that integrates both delay and loss metrics, specifically designed for 5G and beyond. By utilizing real-time variations in delay and packet loss as indicators of congestion, the proposed method enables dynamic adjust
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Verma, Lal Pratap, Varun Kumar Sharma, Mahesh Kumar, and Dimitris Kanellopoulos. "A novel Delay-based Adaptive Congestion Control TCP variant." Computers and Electrical Engineering 101 (July 2022): 108076. http://dx.doi.org/10.1016/j.compeleceng.2022.108076.

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D'Aronco, Stefano, Laura Toni, Sergio Mena, Xiaoqing Zhu, and Pascal Frossard. "Improved Utility-Based Congestion Control for Delay-Constrained Communication." IEEE/ACM Transactions on Networking 25, no. 1 (2017): 349–62. http://dx.doi.org/10.1109/tnet.2016.2587579.

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Liu, Yuxin, Danhong Zhu, and Dong Zhang. "Delay-based virtual congestion control in multi-tenant datacenters." IOP Conference Series: Materials Science and Engineering 322 (March 2018): 052040. http://dx.doi.org/10.1088/1757-899x/322/5/052040.

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Cavendish, Dirceu, Yuji Oie, Masayuki Murata, and Hideo Miyahara. "Proportional rate-based congestion control under long propagation delay." International Journal of Communication Systems 8, no. 2 (1995): 79–89. http://dx.doi.org/10.1002/dac.4500080202.

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Testa, Claudio, and Dario Rossi. "Delay-based congestion control: Flow vs. BitTorrent swarm perspectives." Computer Networks 60 (February 2014): 115–28. http://dx.doi.org/10.1016/j.bjp.2013.12.018.

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Khan, Muhammad, Yasir Zaki, Shiva Iyer, et al. "The case for model-driven interpretability of delay-based congestion control protocols." ACM SIGCOMM Computer Communication Review 51, no. 1 (2021): 18–25. http://dx.doi.org/10.1145/3457175.3457179.

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Analyzing and interpreting the exact behavior of new delay-based congestion control protocols with complex non-linear control loops is exceptionally difficult in highly variable networks such as cellular networks. This paper proposes a Model-Driven Interpretability (MDI) congestion control framework, which derives a model version of a delay-based protocol by simplifying a congestion control protocol's response into a guided random walk over a two-dimensional Markov model. We demonstrate the case for the MDI framework by using MDI to analyze and interpret the behavior of two delay-based protoco
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Dissertations / Theses on the topic "Delay-based congestion control"

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Arun, Venkat. "Copa : practical delay-based congestion control for the internet." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121732.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 43-46).<br>This thesis introduces Copa, an end-to-end congestion control algorithm that uses three ideas. First, it shows that a target rate equal to 1/([delta]d[subscript q]), where d[subscript q] is the (measured) queueing delay, optimizes a natural function of throughput and delay under a Markovian packet arrival model. Second, it adjusts its congestion window in the direction of this targe
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Kotla, Kiran. "Adapting a delay-based protocol to heterogeneous environments." Texas A&M University, 2008. http://hdl.handle.net/1969.1/86000.

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We investigate the issues in making a delay-based protocol adaptive to heterogeneous environments. We assess and address the problems a delay-based protocol faces when competing with a loss-based protocol such as TCP. We investigate if noise and variability in delay measurements in environments such as cable and ADSL access networks impact the delay-based protocol behavior significantly. We investigate these issues in the context of incremental deployment of a new delay-based protocol, PERT. We propose design modifications to PERT to compete with the TCP flavor SACK. We show through simulation
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Mirzaei, Ahmad, and Seyedeh Serveh Sadeghi. "Adjustable, Delay-based Congestion Control in a Reliable Transport Protocol over UDP." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-94875.

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Hosts in the peer-to-peer networks need to communicate to each other directly, but majority of nodes in the Internet are private nodes, that is they are behind Network Address Translators(NAT), and cannot be reached directly like a public node. Therefore, NAT traversal techniques are required to enable nodes to make end-to-end connections. These techniques seems to be more effective over UDP transport compared to TCP. However, standard UDP lacks some useful features, such as reliability and in-order delivery of packets. It also does not have congestion control mechanism to prevent congestion i
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Sun, Bin, and Wipawat Uppatumwichian. "A Study of Factors Which Influence QoD of HTTP Video Streaming Based on Adobe Flash Technology." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2488.

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Recently, there has been a significant rise in the Hyper-Text Transfer Protocol (HTTP) video streaming usage worldwide. However, the knowledge of performance of HTTP video streaming is still limited, especially in the aspect of factors which affect video quality. The reason is that HTTP video streaming has different characteristics from other video streaming systems. In this thesis, we show how the delivered quality of a Flash video playback is affected by different factors from diverse layers of the video delivery system, including congestion control algorithm, delay variation, playout buffer
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Kamga, Morgan. "Congestion control in packet switch networks." Thesis, 2008. http://hdl.handle.net/10539/5884.

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We consider a congestion control problem in computer networks. The problem is posed as an optimal control problem and reduced to a problem of finding solutions to delay differential equations. Systems involving time delays in the dynamics are actually very difficult to model and therefore very difficult to solve. We consider three approaches in our congestion control problem: an elastic queue approach leading to an optimal control problem with a state–dependent delay differential equation; three approaches in flow models (also leading to systems containing delay differential equations),
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TSAI, YI-CHENG, and 蔡易成. "Design of TCP Congestion Control in Data Center Networks Based on Bandwidth Delay Product." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/3xypd8.

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碩士<br>國立中正大學<br>通訊工程研究所<br>107<br>In recent years, machine learning、cloud calculation and internet of things has played an important role in our society. For these technologies, internet protocols is the key part of them. When the among of data transfer in the internet is increase drastically,a suitable TCP congestion control mechanism is needed.In this paper, a new TCP congestion control mechanism based on BDP will be proposed.
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Sah, Sankalp. "Distributed Control Approaches to Network Optimization." 2010. http://hdl.handle.net/1969.1/ETD-TAMU-2010-05-7840.

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The objective of this research is to develop distributed approaches to optimizing network traffic. Two problems are studied, which include exploiting social networks in routing packets (coupons) to desired network nodes (users in the social network), and developing a rate based transport protocol, which will guarantee that all the flows in a network (e.g. Internet) meet a delay constraint per packet. Firstly, we will study social networks as a means of obtaining information about a system. They are increasingly seen as a means of obtaining awareness of user preferences. Such awareness could be
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Chang, Wan-Chen, and 張菀真. "DCVegas: A Delay-Based Congestion Control Mechanism to Solve TCP Incast in Data Center Networks." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/94603576391501333614.

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碩士<br>國立彰化師範大學<br>資訊工程學系<br>104<br>Nowadays, Data Center Networks have become a key resource to provide online services such as web search, social networking, cloud computing, etc. Many online service providers such as Google, Amazon, Microsoft, Facebook and IBM have vastly invested in building data centers to support large scale computing power and storage. We can clearly observe that data centers have changed people's lifestyle, and affect the way of business. This phenomenon causes more and more researchers begin to study the data center networks. TCP have a good performance on the Internet
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Book chapters on the topic "Delay-based congestion control"

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Pötsch, Thomas. "Modeling of Delay-Based Congestion Control Protocols." In Future Mobile Transport Protocols. Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-14815-7_7.

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Raynaud, Henri-François, Fabienne Floret, and Caroline Kulcsár. "Delay-Based Non-linear Observers for Congestion Control in Communication Networks." In Applications of Time Delay Systems. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-49556-7_1.

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Xiang, Yanping, Jianqiang Yi, Dongbin Zhao, and John T. Wen. "Time Based Congestion Control (TBCC) for High Speed High Delay Networks." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11816157_103.

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Habbal, Adib M. Monzer, and Suhaidi Hassan. "Delay-Based Loss Discrimination Mechanism for Congestion Control in Wireless Ad-Hoc Network." In Informatics Engineering and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25462-8_61.

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Danbatta, Kafilu Barau, and Umar Garba Danbatta. "Dynamic Congestion Control Based on Delay, Service Partitioning and Prioritization in Mobile WiMAX IEEE802.16e." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18802-7_37.

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Ganesan, Sangeetha, Vijayalakshmi Muthuswamy, Ganapathy Sannasi, and Kannan Arputharaj. "A Comprehensive Analysis of Congestion Control Models in Wireless Sensor Networks." In Sensor Technology. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2454-1.ch057.

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Congestion control is an important factor for performance improvement in wireless sensor networks (WSNs). Congestion occurs due to various reasons including a variation in the data rate between incoming and outgoing links, buffer size, flooding attacks and multiple inputs and minimum output capability. Various outcomes of congestion in sensor networks include immense packet loss or packet drop, fast energy depletion, unfairness across the network, reduced node performance and increased delay in packet delivery. Hence, there is an extreme need to check channel congestion in order to enhance the
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Prakash, S. P. Shiva, T. N. Nagabhushan, and Kirill Krinkin. "Congestion Avoidance and Delay Minimization in Energy Aware Routing of Dynamic ieee 802.11s WMN." In Cognitive Analytics. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2460-2.ch010.

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Minimization of delay in collecting the data at any base stations is one of the major concerns in cluster based Wireless Mesh Networks. several researches have proposed algorithms to control congestion considering static nature of a node. Mobility of a node results in high congestion due to frequent link breakages and high energy consumption due to re-establishment of route during routing process. Hence, the authors consider dynamic nodes with single hop inside the static cluster. The proposed model includes four modules namely, Cluster head selection, slot allocation, slot scheduling and data
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Conference papers on the topic "Delay-based congestion control"

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Gusat, Mitchell, Robert Birke, and Cyriel Minkenberg. "Delay-Based Cloud Congestion Control." In GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference. IEEE, 2009. http://dx.doi.org/10.1109/glocom.2009.5425643.

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Guo, Wenlan, Zhijia Wang, and Yun Zhang. "Delay-based Congestion Control for Multipath TCP." In The 5th International Conference on Multimedia, Computer Graphics and Broadcasting. Science & Engineering Research Support soCiety, 2013. http://dx.doi.org/10.14257/astl.2013.31.28.

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Yu Cao, Mingwei Xu, and Xiaoming Fu. "Delay-based congestion control for multipath TCP." In 2012 20th IEEE International Conference on Network Protocols (ICNP). IEEE, 2012. http://dx.doi.org/10.1109/icnp.2012.6459978.

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Wang, Sheng, and Jinshu Su. "Analysis and Enhancement of Delay-Based Congestion Control." In Second International Conference on the Digital Society. IEEE, 2008. http://dx.doi.org/10.1109/icds.2008.32.

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Singh, Karan, Rama Shankar Yadav, Manisha Manjul, and Renu Dhir. "Bandwidth Delay Quality Parameter Based Multicast Congestion Control." In 2008 16th International Conference on Advanced Computing and Communications (ADCOM). IEEE, 2008. http://dx.doi.org/10.1109/adcom.2008.4760479.

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Gonzalez, Regel, Juan Pradilla, Manuel Esteve, and Carlos E. Palau. "Hybrid delay-based congestion control for multipath TCP." In 2016 18th Mediterranean Electrotechnical Conference (MELECON). IEEE, 2016. http://dx.doi.org/10.1109/melcon.2016.7495389.

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Tang, Jian, Tingting Xu, Camtu Nguyen, Xiaoliang Wang, Sanglu Lu, and Baoliu Ye. "Tuning Target Delay for RTT-based Congestion Control." In 2022 IEEE 30th International Conference on Network Protocols (ICNP). IEEE, 2022. http://dx.doi.org/10.1109/icnp55882.2022.9940420.

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Geng, Yantao, Han Zhang, Xingang Shi, et al. "Delay Based Congestion Control for Cross-Datacenter Networks." In 2023 IEEE/ACM 31st International Symposium on Quality of Service (IWQoS). IEEE, 2023. http://dx.doi.org/10.1109/iwqos57198.2023.10188700.

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Jung, Hyungsoo, Shin-gyu Kim, Heon Y. Yeom, Sooyong Kang, and Lavy Libman. "Adaptive delay-based congestion control for high bandwidth-delay product networks." In IEEE INFOCOM 2011 - IEEE Conference on Computer Communications. IEEE, 2011. http://dx.doi.org/10.1109/infcom.2011.5935127.

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Edwan, Talal A., Lin Guan, George Oikonomou, and Iain Phillips. "Higher order delay functions for delay-loss based TCP congestion control." In 2010 Wireless Advanced (WiAd) (Formerly known as SPWC). IEEE, 2010. http://dx.doi.org/10.1109/wiad.2010.5544874.

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