Detection and avoidance technique of anomalous congestion at the network gateways

Active queue management (AQM) techniques are used to maintain congestion at network routers. Random Early Detection (RED) is the most used technique among the existing AQMs, as it can avoid network congestion at the early stage. The RED technique avoids congestion by prompting users to reduce their...

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Main Author:	Ahmed, Abdulghani Ali
Format:	Conference or Workshop Item
Language:	English
Published:	IEEE 2018
Subjects:	QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/23292/ http://umpir.ump.edu.my/id/eprint/23292/ http://umpir.ump.edu.my/id/eprint/23292/1/Detection%20and%20avoidance%20technique%20of%20anomalous%20congestion%20at%20the%20network%20gateways.pdf

id	ump-23292
recordtype	eprints
spelling	ump-232922019-05-16T06:22:42Z http://umpir.ump.edu.my/id/eprint/23292/ Detection and avoidance technique of anomalous congestion at the network gateways Ahmed, Abdulghani Ali QA76 Computer software Active queue management (AQM) techniques are used to maintain congestion at network routers. Random Early Detection (RED) is the most used technique among the existing AQMs, as it can avoid network congestion at the early stage. The RED technique avoids congestion by prompting users to reduce their windows size when the queue average exceeds a predefined threshold. However, RED technique is unable to identify users who do not respond to these notifications, and therefore, RED drops all packets in the queue. This generates false positive alarms as packets of legal users will be dropped as well. This paper proposes a technique for monitoring gateways' queues and discarding only the misbehaving traffic. In particular, the proposed technique monitors users' behavior at the network gateways to identify the real sources of misbehaving traffic that causes the congestion on the network. Congested RED-gateways report the packet transfer rate (PTR) of end-users connected with them to service level agreement unit (SLA-unit). The SLA-unit then discovers end-users who have exceeded their bandwidth shares predefined in the SLA as sources of the anomalous congestion on the network. The obtained results show that the proposed technique is promising in detecting and avoiding anomalous congestion without dropping normal traffic of legitimate end-users. IEEE 2018-03 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23292/1/Detection%20and%20avoidance%20technique%20of%20anomalous%20congestion%20at%20the%20network%20gateways.pdf Ahmed, Abdulghani Ali (2018) Detection and avoidance technique of anomalous congestion at the network gateways. In: 15th IEEE International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing, 6-11 November 2017 , Orlando, United States. pp. 681-686., 2018. ISBN 978-153861955-1 https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2017.119
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	QA76 Computer software
spellingShingle	QA76 Computer software Ahmed, Abdulghani Ali Detection and avoidance technique of anomalous congestion at the network gateways
description	Active queue management (AQM) techniques are used to maintain congestion at network routers. Random Early Detection (RED) is the most used technique among the existing AQMs, as it can avoid network congestion at the early stage. The RED technique avoids congestion by prompting users to reduce their windows size when the queue average exceeds a predefined threshold. However, RED technique is unable to identify users who do not respond to these notifications, and therefore, RED drops all packets in the queue. This generates false positive alarms as packets of legal users will be dropped as well. This paper proposes a technique for monitoring gateways' queues and discarding only the misbehaving traffic. In particular, the proposed technique monitors users' behavior at the network gateways to identify the real sources of misbehaving traffic that causes the congestion on the network. Congested RED-gateways report the packet transfer rate (PTR) of end-users connected with them to service level agreement unit (SLA-unit). The SLA-unit then discovers end-users who have exceeded their bandwidth shares predefined in the SLA as sources of the anomalous congestion on the network. The obtained results show that the proposed technique is promising in detecting and avoiding anomalous congestion without dropping normal traffic of legitimate end-users.
format	Conference or Workshop Item
author	Ahmed, Abdulghani Ali
author_facet	Ahmed, Abdulghani Ali
author_sort	Ahmed, Abdulghani Ali
title	Detection and avoidance technique of anomalous congestion at the network gateways
title_short	Detection and avoidance technique of anomalous congestion at the network gateways
title_full	Detection and avoidance technique of anomalous congestion at the network gateways
title_fullStr	Detection and avoidance technique of anomalous congestion at the network gateways
title_full_unstemmed	Detection and avoidance technique of anomalous congestion at the network gateways
title_sort	detection and avoidance technique of anomalous congestion at the network gateways
publisher	IEEE
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/23292/ http://umpir.ump.edu.my/id/eprint/23292/ http://umpir.ump.edu.my/id/eprint/23292/1/Detection%20and%20avoidance%20technique%20of%20anomalous%20congestion%20at%20the%20network%20gateways.pdf
first_indexed	2023-09-18T22:34:49Z
last_indexed	2023-09-18T22:34:49Z
_version_	1777416524566364160

Detection and avoidance technique of anomalous congestion at the network gateways

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