Relevant bibliographies by topics / Random early detection (RED)

Contents

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

Academic literature on the topic 'Random early detection (RED)'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Random early detection (RED)"

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Chen, Jianyong, Cunying Hu, and Zhen Ji. "Self-Tuning Random Early Detection Algorithm to Improve Performance of Network Transmission." Mathematical Problems in Engineering 2011 (2011): 1–17. http://dx.doi.org/10.1155/2011/872347.

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We use a discrete-time dynamical feedback system model of TCP/RED to study the performance of Random Early Detection (RED) for different values of control parameters. Our analysis shows that the queue length is able to keep stable at a given target if the maximum probabilitypmax⁡and exponential averaging weightwsatisfy some conditions. From the mathematical analysis, a new self-tuning RED is proposed to improve the performance of TCP-RED network. The appropriatepmax⁡is dynamically obtained according to history information of bothpmax⁡and the average queue size in a period of time. Andwis prope
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Abdel-Jaber, Hussein, Fadi Thabtah, and Mike Woodward. "Modeling discrete-time analytical models based on random early detection: Exponential and linear." International Journal of Modeling, Simulation, and Scientific Computing 06, no. 03 (2015): 1550028. http://dx.doi.org/10.1142/s1793962315500282.

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Congestion control is among primary topics in computer network in which random early detection (RED) method is one of its common techniques. Nevertheless, RED suffers from drawbacks in particular when its "average queue length" is set below the buffer's "minimum threshold" position which makes the router buffer quickly overflow. To deal with this issue, this paper proposes two discrete-time queue analytical models that aim to utilize an instant queue length parameter as a congestion measure. This assigns mean queue length (mql) and average queueing delay smaller values than those for RED and e
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HO, CHARLOTTE YUK-FAN, BINGO WING-KUEN LING, and HERBERT H. C. IU. "SYMBOLIC DYNAMICAL MODEL OF AVERAGE QUEUE SIZE OF RANDOM EARLY DETECTION ALGORITHM." International Journal of Bifurcation and Chaos 20, no. 05 (2010): 1415–37. http://dx.doi.org/10.1142/s0218127410026575.

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In this paper, a symbolic dynamical model of the average queue size of the random early detection (RED) algorithm is proposed. The conditions for both the system parameters and the initial conditions that the average queue size of the RED algorithm would converge to a fixed point are derived. These results are useful for network engineers to design both the system parameters and the initial conditions so that internet networks can achieve a good performance.
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Abdel-Jaber, Hussein. "An Exponential Active Queue Management Method Based on Random Early Detection." Journal of Computer Networks and Communications 2020 (May 22, 2020): 1–11. http://dx.doi.org/10.1155/2020/8090468.

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Congestion is a key topic in computer networks that has been studied extensively by scholars due to its direct impact on a network’s performance. One of the extensively investigated congestion control techniques is random early detection (RED). To sustain RED’s performance to obtain the desired results, scholars usually tune the input parameters, especially the maximum packet dropping probability, into specific value(s). Unfortunately, setting up this parameter into these values leads to good, yet biased, performance results. In this paper, the RED-Exponential Technique (RED_E) is proposed to
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Bhatnagar, Shalabh, and Rajesh Patro. "A proof of convergence of the B-RED and P-RED algorithms for random early detection." IEEE Communications Letters 13, no. 10 (2009): 809–11. http://dx.doi.org/10.1109/lcomm.2009.091276.

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Sharma, Saurabh, Dipti Jindal, and Rashi Agarwal. "Analysing Mobile Random Early Detection for Congestion Control in Mobile Ad-hoc Network." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 3 (2018): 1305. http://dx.doi.org/10.11591/ijece.v8i3.pp1305-1314.

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This research paper suggests and analyse a technique for congestion control in mobile ad hoc networks. The technique is based on a new hybrid approach that uses clustering and queuing techniques. In clustering, in general cluster head transfers the data, following a queuing method based on a RED (Random Early Detection), the mobile environment makes it Mobile RED (or MRED), It majorly depends upon mobility of nodes and mobile environments leads to unpredictable queue size. To simulate this technique, the Network Simulator 2 (or NS2) is used for various scenarios. The simulated results are comp
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Jiang, Xianliang, Jiangang Yang, Guang Jin, and Wei Wei. "RED-FT: A Scalable Random Early Detection Scheme with Flow Trust against DoS Attacks." IEEE Communications Letters 17, no. 5 (2013): 1032–35. http://dx.doi.org/10.1109/lcomm.2013.022713.122652.

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Mahmood Lafta, Wisam, Saba Qasim Jabbar, and Guangzhi Ma. "Performance Evaluation of Heterogeneous Network Based on RED and WRED." Indonesian Journal of Electrical Engineering and Computer Science 3, no. 3 (2016): 540. http://dx.doi.org/10.11591/ijeecs.v3.i3.pp540-545.

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<p>The developing of wireless networks becomes a very important issue nowadays, since it is considered as an easy-using tool without building new infrastructure to cover a wide working area. Applying TCP protocols with the application demands are implemented this work by considering heterogeneous environment of wireless networks connecting with wired networks. The TCP congestion is critical problem is faced heterogeneous environments, this problem is appeared through sending and receiving huge data from wireless networks to wired networks and vice versa. This work is proposed a new appro
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Kurdi, Heba, Amal Al-Aldawsari, Isra Al-Turaiki, and Abdulrahman S. Aldawood. "Early Detection of Red Palm Weevil, Rhynchophorus ferrugineus (Olivier), Infestation Using Data Mining." Plants 10, no. 1 (2021): 95. http://dx.doi.org/10.3390/plants10010095.

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In the past 30 years, the red palm weevil (RPW), Rhynchophorus ferrugineus (Olivier), a pest that is highly destructive to all types of palms, has rapidly spread worldwide. However, detecting infestation with the RPW is highly challenging because symptoms are not visible until the death of the palm tree is inevitable. In addition, the use of automated RPW weevil identification tools to predict infestation is complicated by a lack of RPW datasets. In this study, we assessed the capability of 10 state-of-the-art data mining classification algorithms, Naive Bayes (NB), KSTAR, AdaBoost, bagging, P
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Abbas, G., A. K. Nagar, H. Tawfik, and J. Y. Goulermas. "Pricing and Unresponsive Flows Purging for Global Rate Enhancement." Journal of Electrical and Computer Engineering 2010 (2010): 1–10. http://dx.doi.org/10.1155/2010/379652.

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Pricing-based Active Queue Management (AQM), such as Random Exponential Marking (REM), outperforms other probabilistic counterpart techniques, like Random Early Detection (RED), in terms of both high utilization and negligible loss and delay. However, the pricing-based protocols do not take account of unresponsive flows that can significantly alter the subsequent rate allocation. This letter presents Purge (Pricing and Un-Responsive flows purging for Global rate Enhancement) that extends the REM framework to regulate unresponsive flows. We show that Purge is effective at providing fairness and
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Dissertations / Theses on the topic "Random early detection (RED)"

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

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Books on the topic "Random early detection (RED)"

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Wu, Kana, NaNa Keum, Reiko Nishihara, and Edward L. Giovannucci. Cancers of the Colon and Rectum. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190238667.003.0036.

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Worldwide, colorectal cancer (CRC) is the third most common cancer in men and second in women, with annual estimates of 1.4 million newly diagnosed cases and over 690,000 deaths. Incidence rates relate closely to economic development. Although incidence rates have stabilized at a high level in most economically developed countries, they continue to increase in many traditionally low-risk countries, following the uptake of Western patterns of diet and physical inactivity. In principle, CRC is among the most preventable of all common cancers. Potentially modifiable risk factors include obesity,
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Book chapters on the topic "Random early detection (RED)"

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Sharma, Neelam, Shyam Singh Rajput, Amit Kumar Dwivedi, and Manish Shrimali. "P-RED: Probability Based Random Early Detection Algorithm for Queue Management in MANET." In Advances in Computer and Computational Sciences. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3773-3_62.

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Gan, Yung-Sze, and Chen-Khong Tham. "Random Early Detection Assisted Layered Multicast." In Management of Multimedia on the Internet. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45812-3_27.

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Upadhyay, Anand, Umesh Palival, and Sumit Jaiswal. "Early Brain Tumor Detection Using Random Forest Classification." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49339-4_26.

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Byun, Do Jun, and John S. Baras. "Adaptive Virtual Queue Random Early Detection in Satellite Networks." In Wireless Technology. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-71787-6_4.

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Adamu, Aminu, Vsevolod Shorgin, Sergey Melnikov, and Yuliya Gaidamaka. "Flexible Random Early Detection Algorithm for Queue Management in Routers." In Distributed Computer and Communication Networks. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66471-8_16.

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Hailong, Li, Tan Wei Liak, Li-Jin Thng Ian, and Li Xiaorong. "Fiber Delay Line-Random Early Detection QoS Scheme for Optical Burst Switching Networks." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-25969-5_69.

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Abdel-jaber, Hussein, Jafar Ababneh, Fadi Thabtah, Amjad M. Daoud, and Mahmoud Baklizi. "Performance Analysis of the Proposed Adaptive Gentle Random Early Detection Method under NonCongestion and Congestion Situations." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22603-8_52.

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Dash, Prasant Kumar, Sukant Kishoro Bisoy, Narendra Kumar Kamila, and Madhumita Panda. "Parameter Setting and Stability of PI Controller for AQM Router." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0501-3.ch015.

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AQM is used to signal congestion early by dropping packets before the buffer becomes completely full. It has following goals: small queuing delays, low packets losses and high link utilization. This work investigates the dynamic of Proportional Integral (PI) controller in the presence of large FTP flows in homogeneous scenario. We systematically derive quantitative guidelines and set the parameters as a function of the scenario parameters bottleneck-bandwidth, round-trip-time, number of TCP flows in order to avoid severe oscillation of the queue size. To compare the best of PI we have considered Random Early Detection (RED), Random Exponential Marking (REM) and Adaptive Virtual Queue (AVQ) as active queue management schemes. Then we analyzed the performance of PI with DropTail, REM and AVQ in wired-cum-wireless network. Our result shows that, properly configuring the parameter of PI can stabilize queue length under dynamic environments and retain good performance even if the network parameters, such as the number of flows N, target queue length, round-trip time RTT.
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Gambhir, Shalini, Yugal Kumar, Sanjay Malik, Geeta Yadav, and Amita Malik. "Early Diagnostics Model for Dengue Disease Using Decision Tree-Based Approaches." In Pre-Screening Systems for Early Disease Prediction, Detection, and Prevention. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7131-5.ch003.

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Classification schemes have been applied in the medical arena to explore patients' data and extract a predictive model.This model helps doctors to improve their prognosis, diagnosis, or treatment planning processes.The aim of this work is to utilize and compare different decision tree classifiers for early diagnosis of Dengue. Six approaches, mainly J48 tree, random tree, REP tree, SOM, logistic regression, and naïve Bayes, have been utilized to study real-world Dengue data collected from different hospitals in the Delhi, India region during 2015-2016. Standard statistical metrics are used to assess the efficiency of the proposed Dengue disease diagnostic system, and the outcomes showed that REP tree is best among these classifiers with 82.7% efficient in supplying an exact diagnosis.
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Bisoy, Sukant Kishoro, Prasant Kumar Pattnaik, and Narendra Kumar Kamila. "Throughput and Compatibility Analysis of TCP Variants in Heterogeneous Environment." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0501-3.ch011.

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When TCP Reno and TCP Vegas connections share a link, TCP Reno generally steals more bandwidth and dominates TCP Vegas because of its aggressive nature. This is the major reason why TCP Vegas has not gained much popularity and deployment in the Internet despite its excellent standalone performance. This work systematically examines compatibility between Reno and Vegas in wired as well as in wireless networks. Popular Active Queue Management (AQM) technique named as Random Early Detection (RED) to minimize the incompatibility between Reno and Vegas in wired network. For wireless network two ad hoc routing protocols such as Ad Hoc On-Demand Distance Vector (AODV) and Destination-Sequenced Distance Vector (DSDV) are considered. Simulation results show that the incompatibility between Reno and Vegas in wired network is minimized using popular RED techniques. But in wireless ad hoc network environment Reno's aggressive behavior gets deteriorated while sharing with Vegas. Moreover, Reno and Vegas are more compatible in wireless network than wired network when both coexist in same time.
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Conference papers on the topic "Random early detection (RED)"

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Manjunath, Sreelakshmi, and Gaurav Raina. "Analyses of compound TCP with Random Early Detection (RED) queue management." In 2015 27th Chinese Control and Decision Conference (CCDC). IEEE, 2015. http://dx.doi.org/10.1109/ccdc.2015.7162875.

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A. Akintola, A., G. A. Aderounmu, L. A. Akanbi, and M. O. Adigun. "Modeling and Performance Analysis of Dynamic Random Early Detection (DRED) Gateway for Congestion Avoidance." In InSITE 2005: Informing Science + IT Education Conference. Informing Science Institute, 2005. http://dx.doi.org/10.28945/2920.

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One of the most prominent congestion avoidance schemes in the Internet architecture is the Random Early Detection (RED) algorithm. Several modifications and enhancements have been made to the original RED so as to make it more responsive to congestion avoidance at the gateways. In this paper, we introduced the Dynamic Random Early Detection (DRED) model, which uses a newly introduced parameter i.e. warning line. A robust and efficacious technique to measure the burstiness of incoming traffic has been developed and tested. This involves the estimation of the average queue size, avg, which is dy
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Siregar, B., M. S. Manik, R. Rahmat, U. Andayani, and F. Fahmi. "Implementation of network monitoring and packets capturing using random early detection (RED) method." In 2017 IEEE International Conference on Communication, Networks and Satellite (Comnetsat). IEEE, 2017. http://dx.doi.org/10.1109/comnetsat.2017.8263571.

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Chhabra, Kiran, Manali Kshirsagar, and Arun Zadgaonkar. "Performance improvement of RED: Random early detection using input sensitivity with threshold modification." In 2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO). IEEE, 2015. http://dx.doi.org/10.1109/eesco.2015.7253707.

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Govindaswamy, Visvasuresh, Gergely Zaruba, and G. Balasekaran. "Receiver-Window Modified Random Early Detection (RED-RWM) Active Queue Management Scheme: Modeling and Analysis." In 2006 IEEE International Conference on Communications. IEEE, 2006. http://dx.doi.org/10.1109/icc.2006.254721.

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Rajput, Shyam Singh, Vinod Kumar, and Santosh Kumar Paul. "Comparative analysis of random early detection (RED) and virtual output queue (VOQ) algorithms in differentiated services network." In 2014 International Conference on Signal Processing and Integrated Networks (SPIN). IEEE, 2014. http://dx.doi.org/10.1109/spin.2014.6776954.

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Lin, Xiao-Hui, Kai-Yu Zhou, Hui Wang, and Gong-Cao Su. "Scalable Fair Random Early Detection." In 2006 International Conference on Wireless Communications, Networking and Mobile Computing. IEEE, 2006. http://dx.doi.org/10.1109/wicom.2006.372.

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Lin, Dong, and Robert Morris. "Dynamics of random early detection." In the ACM SIGCOMM '97 conference. ACM Press, 1997. http://dx.doi.org/10.1145/263105.263154.

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Hendrawan and Prima Hernandia. "Random Early Detection utilizing genetics algorithm." In 2014 8th International Conference on Telecommunication Systems Services and Applications (TSSA). IEEE, 2014. http://dx.doi.org/10.1109/tssa.2014.7065952.

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Yang, Lin, Jin Zhu, Wanqing Xie, and Xiaobin Tan. "Stable tuning for random early detection algorithm." In 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6895874.

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Reports on the topic "Random early detection (RED)"

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Deshpande, Alina. RED Alert – Early warning or detection of global re-emerging infectious disease (RED). Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1261795.

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Perkins, Dustin. Invasive exotic plant monitoring at Colorado National Monument: 2019 field season. Edited by Alice Wondrak Biel. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2286650.

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Invasive exotic plant (IEP) species are a significant threat to natural ecosystem integrity and biodiversity, and controlling them is a high priority for the National Park Service. The North-ern Colorado Plateau Network (NCPN) selected the early detection of IEPs as one of 11 monitoring protocols to be implemented as part of its long-term monitoring program. This report represents work completed at Colorado National Monument during 2019. During monitoring conducted June 12–19, a total of 20 IEP species were detected on monitoring routes and transects. Of these, 12 were priority species that ac
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