Adaptive mean queue size and its rate of change: queue management with random dropping

Karmeshu,; Patel, Sanjeev; Bhatnagar, Shalabh

doi:10.1007/s11235-016-0229-4

Cited by 30 publications

(38 citation statements)

References 20 publications

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“…Computation of effect for each factor is evaluated in Table 6. Further, we compute the percentage variation of each factor x 1 , x 2 , and x 3 and their interactions x 12 , x 23 , x 13 , and x 123 .…”

Section: Computation Of Effect For Each Factormentioning

confidence: 99%

“…A variant of RED, adaptive RED has been proposed to improve the performance of RED by adjusting the value of network parameter

m a x_{p}

. The robustness of the adaptive queue management with random dropping (AQMRD) has been increased by adapting the average queue size and the rate of change of the average queue size . The comparative survey of AQM schemes has been analyzed in Adams .…”

Section: Introductionmentioning

confidence: 99%

“…The robustness of the adaptive queue management with random dropping (AQMRD) has been increased by adapting the average queue size and the rate of change of the average queue size. 13 The comparative survey of AQM schemes has been analyzed in Adams. 14 A model for transmission control protocol (TCP) congestion window size is proposed when window size is bounded by an upper limit that gives a simple solution for distribution function of window size.…”

Section: Introductionmentioning

confidence: 99%

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Nonlinear performance evaluation model for throughput of AQM scheme using full factorial design approach

Patel

2020

Int J Communication

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Summary The performance of active queue management (AQM) is measured in terms of throughput, delay, queue size, and loss rate. We have carried out the optimized performance measure of throughput for AQM scheme random early detection (RED) using 3k full factorial design (FDD) technique that is a new approach of performance analysis particularly for congestion control algorithms. We have considered the input factors, viz, buffer size, maximum threshold, and the number of file transfer protocol (FTP) sources for the evaluation of RED that can be used for other AQM schemes, viz, adaptive RED, three‐section RED (TRED), and adaptive queue management with random dropping (AQMRD). The effect of each input factor as well as their interactions are evaluated using 3k factorial design technique that results to obtain the nonlinear equation for performance measure in terms of input factors buffer size, maximum threshold, and the number of FTP sources. Finally, we show the contour plots for variation of performance measure throughput (steady state) from minimum to maximum values with respect to the different setting of input parameters.

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Section: Computation Of Effect For Each Factormentioning

confidence: 99%

“…A variant of RED, adaptive RED has been proposed to improve the performance of RED by adjusting the value of network parameter

m a x_{p}

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Nonlinear performance evaluation model for throughput of AQM scheme using full factorial design approach

Patel

2020

Int J Communication

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“…The variety of TCP models are available in the literature. [1][2][3][4][5][6][7] The recent works for managing the congestion control at routers are presented in Karmeshu et al 8 and Feng et al 9 A new approach to congestion control protocols has been proposed in Courcoubetis et al 10 for background traffic with the minimum impact on short TCP flows. If the amount of TCP session during the flow of transmission is small, then it is called short TCP flow.…”

Section: Introductionmentioning

confidence: 99%

Comparative analysis of cumulative distribution function for TCP congestion window size and triple‐duplicate period

Patel

2019

Int J Communication

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Summary Various version of Transmission Control Protocol (TCP) congestion window model are available in the literature. TCP congestion control is handled in two phases: (a) slow start and (b) congestion avoidance. This paper deals with congestion avoidance phase that is based on additive increase multiplicative decrease (AIMD) mechanism in which window size either increase by one or cuts to half of the previous window size. For distribution of window sizes, a model developed by Yan et al has been presented for two loss indications: (a) triple duplicate (TD) and (b) time‐outs (TOs) only while it does not deal with the window size limitation. It does not allow to cap over the TCP congestion window size if the buffer size is restricted to a fixed value though window size could not move beyond that. The unconstrained window size moves on in the presence of low loss probability. In this paper, we propose a model for the case where the window size is bounded by a maximum value that makes applicable to window size limitation as well. Further, the work has been extended to develop a new model that obtains a cumulative distribution function for TD periods (TDPs). The proposed model is validated on ns‐2, and we conclude that observed results for distribution function are very closed to our proposed model.

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“…As the implementation of the system with a threshold control we investigated the RED (seeFloyd and Jacobson (1993); Feng et al (2015); Lautenschlaeger and Francini (2015); Karmeshu et al (2016)) active traffic management unit for the TCP protocol. During simulation of TCP protocol and RED mechanism the serious problems arised.…”

Section: Introductionmentioning

confidence: 99%

Hybrid Simulation Of Active Traffic Management

Korolkova¹,

Velieva²,

Abaev³

et al. 2016

ECMS 2016 Proceedings Edited by Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose

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KEYWORDSHybrid modeling, fluid model, active queue management, random early detection, Modelica ABSTRACTFor the study and verification of our mathematical model of RED-like active traffic management module a discrete simulation model and a continuous analytical model were developed. However, for various reasons, these implementations are not entirely satisfactory. It is necessary to develop a more adequate simulation model, possibly using a different modeling paradigm. In order to modeling of the TCP source, the RED control module, and the process of their interaction it is proposed to use a hybrid (continuous-discrete) approach. For computer implementation of the model the physical modeling language Modelica is used. Because the language Modelica has multiple implementations we have selected the OpenModelica compiler. The hybrid approach allows us to take into account the transitions between different states in the continuous model of the TCP protocol. The hybrid approach simplified the consideration of the model due to the conversion of a differential inclusions into a set of differential equations with discrete transitions. The considered approach allowed to obtain a simple simulation model of interaction between RED module and TCP source. This model has great potential for expansion. It is possible to implement different types of TCP and RED. Furthermore, it is possible to use a hybrid approach not only for the simulation but also for analytical modeling.

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Adaptive mean queue size and its rate of change: queue management with random dropping

Cited by 30 publications

References 20 publications

Nonlinear performance evaluation model for throughput of AQM scheme using full factorial design approach

Nonlinear performance evaluation model for throughput of AQM scheme using full factorial design approach

Comparative analysis of cumulative distribution function for TCP congestion window size and triple‐duplicate period

Hybrid Simulation Of Active Traffic Management

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