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A simulation study of a new rate-and-queue-based active queue management algorithm
Published 2012“…In order to enhance quality of service (QoS), active queue management (AQM) algorithms are frequently employed due to their efficiency in congestion avoidance as well as the differentiated forwarding of packets. …”
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Article -
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Gps solution for active queue management using android platform
Published 2021“…This project introduces a model for effective management of queue in different locations using GPS as a medium. …”
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Final Year Project / Dissertation / Thesis -
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HF-AQM: An efficient active queue management scheme for wireless local area network environment
Published 2017“…An Active Queue Management (AQM) is a proactive scheme that controls the network congestion by avoiding the congestion before it happened.When implementing AQM in wireless networks several contemporary issues must be considered, such as interference, collisions, multipath-fading, propagation distance, shadowing effects and route failure, and whether the wireless networks is WLAN or other type.Therefore, the needs for AQM algorithm that can perform in WLAN network as good and efficient as in wired network become so crucial.This paper proposes a new AQM algorithm called Hybrid Fair AQM (HF-AQM) that can achieve better fairness and higher utilization in WLAN environment by hybridizing queue delay and input rate to measure network congestion. …”
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The delay with new-additive increase multiplicative decrease congestion avoidance and control algorithm.
Published 2010“…And we will use the Drop tail mechanism as Active Queue Management (AQM) in the bottleneck router. …”
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Performance study of large block forward error correction with random early detection queue policy
Published 2009“…FEC is a technique that uses redundant packet to reconstruct the dropped packet, while RED is an active queue management algorithm. …”
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Book Section -
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Combination of GREEN and SHRed AQM for short-lived traffic
Published 2008“…The majority of traffic flows dominate Internet traffic is Web interactions where they are short-lived HTTP connections handled by TCP.Short-lived traffic is more sensitive to delay and has small congestion windows cwnds.This paper introduces a new active queue management (AQM) algorithms based on combination of GREEN algorithm and SHRED, to tackle issues on Short-lived flows.Active Queue Management (AQM) refers to a method to enhance congestion control, and to achieve trade off between link utilization and delay. …”
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Conference or Workshop Item -
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RED, GRED, AGRED congestion control algorithms in heterogeneous traffic types
Published 2013“…There are several Active Queue Management algorithms(AQM) exist to deal with the congestion at the router buffer such as RED, DRED, BLUE, AGRED.This paper presents an analysis of RED, GRED and AGRED algorithms with three different Traffic distributions which are Exponential distribution, Geometrical distribution and ON-OFF model using simulation. …”
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9
Red, gred, agred congestion control algorithms in heterogeneous traffic types
Published 2013“…There are several Active Queue Management algorithms (AQM) exist to deal with the congestion at the router buffer such as RED, DRED, BLUE, AGRED. …”
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An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
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A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
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Thesis -
13
On the delay and link utilization with the new-additive increase multiplicative decrease congestion avoidance and control algorithm
Published 2010“…We will use the DropTail mechanism as the active queue management mechanism (AQM) in the bottleneck router. …”
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Article -
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Performance Enhancement of Routing Protocols in Mobile Wireless Ad-Hoc Networks Using Fuzzy Reasoning Algorithm
Published 2006“…These applications are: route lifetime estimation, local connectivity management, nodes affinity management, and active queue management. In the first method, the fuzzy reasoning is used to estimate the time route can stay active in the routing table. …”
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Thesis -
15
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
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Thesis -
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Experimental evaluation of bottleneck link utilization with new-additive increase multiplicative decrease congestion avoidance and control algorithm.
Published 2009“…And we will use the Droptail mechanism as Active Queue Management (AQM) in the bottleneck router. …”
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Development Of Machine Learning User Interface For Pump Diagnostics
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Monograph -
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AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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Dynamic Feedback Flow Control Algorithms for Unicast and Multicast Available Bit Rate Service in Asynchronous Transfer Mode Networks
Published 2000“…The simulation results show that the DRFC algorithm allocates the available bandwidth fairly among the contending ABR sources, while achieving high link utilisation with reasonable growth of queues. …”
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Thesis -
20
AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
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