A simulation study of a new rate-and-queue-based active queue management algorithm

Nowadays, e-queues are built up everywhere where customer online service is necessary such as in banks’ e-service, enterprises’ e-business, etc. In order to enhance quality of service (QoS), active queue management (AQM) algorithms are frequently employed due to their efficiency in congestion avoida...

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Main Authors: Ali Asghar, Jomah Adham, Razman, Mat Tahar
Format: Article
Language:English
English
Published: Emerald Group Publishing Limited 2012
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/6791/1/A_Simulation_study_of_new_rate-and-queue-based_active_queue_management_logarithm.pdf
http://umpir.ump.edu.my/id/eprint/6791/4/A%20simulation%20study%20.pdf
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author Ali Asghar, Jomah Adham
Razman, Mat Tahar
author_facet Ali Asghar, Jomah Adham
Razman, Mat Tahar
author_sort Ali Asghar, Jomah Adham
collection UMP
description Nowadays, e-queues are built up everywhere where customer online service is necessary such as in banks’ e-service, enterprises’ e-business, etc. 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. This paper aims at developing a novel AQM algorithm to better QoS in terms of congestion prediction, queuing delay, packet loss and link utility, etc. Upon the traditional designs of AQM, this paper establishes a new integrated AQM scheme (RQ-AQM) by employing input rate and current queue length to calculate the packet dropping/marking probability. In this way, the rate feedback control enables to rapid response to congestion, decreasing the packet loss from buffer overflow. Meanwhile, the queue length feedback control stabilizes the queue length around a given target, achieving predictable queuing delay and lower delay jitter. Thus, the main feature of the design is to use coefficients of both proportional rate control and proportional-integral queue length control, and to simplify parameter setting, the control parameters were scaled by the link capacity C to normalize the rate and by the bandwidth-delay product BDP to normalize the queue length, respectively.
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spelling UMPir67912020-06-04T07:15:54Z http://umpir.ump.edu.my/id/eprint/6791/ A simulation study of a new rate-and-queue-based active queue management algorithm Ali Asghar, Jomah Adham Razman, Mat Tahar T Technology (General) Nowadays, e-queues are built up everywhere where customer online service is necessary such as in banks’ e-service, enterprises’ e-business, etc. 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. This paper aims at developing a novel AQM algorithm to better QoS in terms of congestion prediction, queuing delay, packet loss and link utility, etc. Upon the traditional designs of AQM, this paper establishes a new integrated AQM scheme (RQ-AQM) by employing input rate and current queue length to calculate the packet dropping/marking probability. In this way, the rate feedback control enables to rapid response to congestion, decreasing the packet loss from buffer overflow. Meanwhile, the queue length feedback control stabilizes the queue length around a given target, achieving predictable queuing delay and lower delay jitter. Thus, the main feature of the design is to use coefficients of both proportional rate control and proportional-integral queue length control, and to simplify parameter setting, the control parameters were scaled by the link capacity C to normalize the rate and by the bandwidth-delay product BDP to normalize the queue length, respectively. Emerald Group Publishing Limited 2012 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6791/1/A_Simulation_study_of_new_rate-and-queue-based_active_queue_management_logarithm.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/6791/4/A%20simulation%20study%20.pdf Ali Asghar, Jomah Adham and Razman, Mat Tahar (2012) A simulation study of a new rate-and-queue-based active queue management algorithm. Journal of Modelling in Management, 7 (3). pp. 274-286. ISSN 1746-5664. (Published) http://dx.doi.org/10.1108/17465661211283278 DOI 10.1108/17465661211283278
spellingShingle T Technology (General)
Ali Asghar, Jomah Adham
Razman, Mat Tahar
A simulation study of a new rate-and-queue-based active queue management algorithm
title A simulation study of a new rate-and-queue-based active queue management algorithm
title_full A simulation study of a new rate-and-queue-based active queue management algorithm
title_fullStr A simulation study of a new rate-and-queue-based active queue management algorithm
title_full_unstemmed A simulation study of a new rate-and-queue-based active queue management algorithm
title_short A simulation study of a new rate-and-queue-based active queue management algorithm
title_sort simulation study of a new rate and queue based active queue management algorithm
topic T Technology (General)
url http://umpir.ump.edu.my/id/eprint/6791/1/A_Simulation_study_of_new_rate-and-queue-based_active_queue_management_logarithm.pdf
http://umpir.ump.edu.my/id/eprint/6791/4/A%20simulation%20study%20.pdf
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