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Relevant bibliographies by topics / Random early detection (RED) / Dissertations / Theses

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Dissertations / Theses on the topic 'Random early detection (RED)'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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1

Movsesyan, Aleksandr. "Reliable Ethernet." DigitalCommons@CalPoly, 2011. https://digitalcommons.calpoly.edu/theses/602.

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Networks within data centers, such as connections between servers and disk arrays, need lossless flow control allowing all packets to move quickly through the network to reach their destination. This paper proposes a new algorithm for congestion control to satisfy the needs of such networks and to answer the question: Is it possible to provide circuit-less reliability and flow control in an Ethernet network? TCP uses an end-to-end congestion control algorithm, which is based on end-to-end round trip time (RTT). Therefore its flow control and error detection/correction approach is dependent on

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2

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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Cheng, Wijian. "Automatic Red Tide Detection using MODIS Satellite Images." Scholar Commons, 2009. http://scholarcommons.usf.edu/etd/3772.

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Red tides pose a significant economic and environmental threat in the Gulf of Mexico. Detecting red tide is important for understanding this phenomenon. In this thesis, machine learning approaches based on Random Forests, Support Vector Machines and K-Nearest Neighbors have been evaluated for red tide detection from MODIS satellite images. Detection results using machine learning algorithms were compared to ship collected ground truth red tide data. This work has three major contributions. First, machine learning approaches outperformed two of the latest thresholding red tide detection algorit

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4

Tinnakornsrisuphap, Peerapol. "Dynamics of random early detection gateway under a large number of TCP flows." College Park, Md. : University of Maryland, 2004. http://hdl.handle.net/1903/200.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2004.<br>Thesis research directed by: Electrical Engineering. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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5

Ghimire, Rajiv, and Mustafa Noor. "Evaluation and Optimization of Quality of Service (QoS) In IP Based Networks." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3920.

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The purpose of this thesis is to evaluate and analyze the performance of RED (Random Early Detection) algorithm and our proposed RED algorithm. As an active queue management RED has been considered an emerging issue in the last few years. Quality of service (QoS) is the latest issue in today’s internet world. The name QoS itself signifies that special treatment is given to the special traffic. With the passage of time the network traffic grew in an exponential way. With this, the end user failed to get the service for what they had paid and expected for. In order to overcome this problem, QoS

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6

Abdel-Jaber, Hussein F. "Performance Modelling and Evaluation of Active Queue Management Techniques in Communication Networks. The development and performance evaluation of some new active queue management methods for internet congestion control based on fuzzy logic and random early detection using discrete-time queueing analysis and simulation." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4261.

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Since the field of computer networks has rapidly grown in the last two decades, congestion control of traffic loads within networks has become a high priority. Congestion occurs in network routers when the number of incoming packets exceeds the available network resources, such as buffer space and bandwidth allocation. This may result in a poor network performance with reference to average packet queueing delay, packet loss rate and throughput. To enhance the performance when the network becomes congested, several different active queue management (AQM) methods have been proposed and some of t

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7

Duchemin, Tom. "Méthodologie d’analyse et de surveillance pour la prévention des arrêts maladie Hierarchizing Determinants of Sick Leave Insights From a Survey on Health and Well-being at the Workplace Response to Predictors of Long-Term Sick Leave in the Workplace Modeling sickness absence data : a scoping review A statistical algorithm for outbreak detection in a multi-site setting : the case of sick leave monitoring Monitoring sick leave data for early detection of influenza outbreaks." Thesis, Paris, HESAM, 2020. http://www.theses.fr/2020HESAC027.

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Alors que les arrêts maladie sont le signe d’un mal-être croissant chez les salariés et qu’ils pèsent un coût certain pour la collectivité, la numérisation et le partage systématique des données offrent de belles opportunités pour leur prévention. Nous avons ainsi profité de cette opportunité pour développer un éventail d’outils de prévention basés sur des méthodes d’analyse statistique. Dans un premier temps, ces travaux de thèse proposent une analyse des mécanismes expliquant les arrêts maladie chez le salarié. L’analyse d’une enquête nationale a premièrement permis d’identifier et de hiérar

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8

Jones, Christina Michele. "Applications and challenges in mass spectrometry-based untargeted metabolomics." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54830.

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Metabolomics is the methodical scientific study of biochemical processes associated with the metabolome—which comprises the entire collection of metabolites in any biological entity. Metabolome changes occur as a result of modifications in the genome and proteome, and are, therefore, directly related to cellular phenotype. Thus, metabolomic analysis is capable of providing a snapshot of cellular physiology. Untargeted metabolomics is an impartial, all-inclusive approach for detecting as many metabolites as possible without a priori knowledge of their identity. Hence, it is a valuable explorato

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9

Lin, Wei-Chung, and 林偉正. "An Improved Random Early Detection (RED) Algorithm for Congestion Control." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/16896950377494718155.

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碩士<br>國立中興大學<br>資訊科學系所<br>95<br>Many proposals have been adopted in controlling the congestions in the routers, including Random Early Detection (RED) and Drop-tail, and have shown to improve the loss rate, throughput, fairness, etc. of the network. Although RED algorithm is designed for TCP for a active queue management, we found that when comes to dropping the packets, it treats packets equally, ignoring the effect of the the size of the packets. This results in higher loss rate of packets and lower throughput for smaller packets. In this thesis, we propose to improve the original RED algo

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10

Vaidya, Rahul. "Online Optimization Of RED Routers." Thesis, 2004. http://etd.iisc.ernet.in/handle/2005/1134.

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11

Patro, Rajesh Kumar. "A Nonlinear Stochastic Optimization Framework For RED." Thesis, 2005. http://etd.iisc.ernet.in/handle/2005/1439.

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12

Asfand-E-Yar, Irfan U. Awan, and Mike E. Woodward. "Performance modelling of a multiple threshold RED mechanism for bursty and correlated Internet traffic with MMPP arrival process." 2006. http://hdl.handle.net/10454/479.

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Access to the large web content hosted all over the world by users of the Internet engage many hosts, routers/switches and faster links. They challenge the internet backbone to operate at its capacity to assure e±cient content access. This may result in congestion and raises concerns over various Quality of Service (QoS) issues like high delays, high packet loss and low throughput of the system for various Internet applications. Thus, there is a need to develop effective congestion control mechanisms in order to meet various Quality of Service (QoS) related performance parameters. In this

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13

Zheng, Jing-Hong, and 鄭景鴻. "Using Random Early Detection to Improve Load Balancing in Unstructured P2P Networks." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/14144552035127001743.

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碩士<br>輔仁大學<br>資訊工程學系<br>99<br>The architecture of and the network formed by Peer-to-peer (P2P) technology is one of the most popular applications on the Internet. However, most of P2P networks currently in use operate in the form of unstructured style. The query broadcasting employed by the nodes to search for a file in unstructured networks often results in great burdens on the nodes. Furthermore, if nodes are located on popular paths, those nodes will receive more messages and have higher loads than others. How to reduce the load of the nodes in unstructured P2P networks is the major issue o

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14

Su, Guan-Yi, and 蘇冠伊. "Random Early Detection Improved by Progressive Adjustment Method and Its TI DaVinci Embedded System Implementation." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/71883036951672622976.

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碩士<br>雲林科技大學<br>電機工程系碩士班<br>96<br>With the rapid development of Internet services and applications, the demand for network bandwidth is ever-increasing. Network congestion issue is inevitably critical and gets widespread attention all the time. Hence, how to make good use of limited network bandwidth and solve the congestion issue effectively has always been one of the most popular topics. In this paper, a progressive adjustment method is proposed to improve on Active Queue Management (AQM), especially on Random Early Detection (RED) and Modified Random Early Detection (MRED). This reformed AQ

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15

"Early Detection and Treatment of Breast Cancer by Random Peptide Array in neuN Transgenic Mouse Model." Doctoral diss., 2015. http://hdl.handle.net/2286/R.I.34916.

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abstract: Breast cancer is the most common cancer and currently the second leading cause of death among women in the United States. Patients’ five-year relative survival rate decreases from 99% to 25% when breast cancer is diagnosed late. Immune checkpoint blockage has shown to be a promising therapy to improve patients’ outcome in many other cancers. However, due to the lack of early diagnosis, the treatment is normally given in the later stages. An early diagnosis system for breast cancer could potentially revolutionize current treatment strategies, improve patients’ outcomes and even eradic

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16

Min, Geyong, and X. Jin. "Analytical Modelling and Optimization of Congestion Control for Prioritized Multi-Class Self-Similar Traffic." 2013. http://hdl.handle.net/10454/9689.

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No<br>Traffic congestion in communication networks can dramatically deteriorate user-perceived Quality-of-Service (QoS). The integration of the Random Early Detection (RED) and priority scheduling mechanisms is a promising scheme for congestion control and provisioning of differentiated QoS required by multimedia applications. Although analytical modelling of RED congestion control has received significant research efforts, the performance models reported in the current literature were primarily restricted to the RED algorithm only without consideration of traffic scheduling scheme for QoS dif

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