RED-Based Technique for Detecting and Avoiding Anomaly Network Congestion

Active Queue Management (AQM) is an intelligent drop of network packets within the network routers as a result of buffer saturation to reduce network congestion. Random Early Detection (RED) mechanism is the most used mechanism among the existing AQMs, as it can avoid network congestion at the early...

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Main Authors:	Montaser, Mohamed Mostafa, Ahmed, Abdulghani Ali
Format:	Article
Language:	English
Published:	American Scientific Publisher 2018
Subjects:	BF Psychology QA76 Computer software
Online Access:	http://umpir.ump.edu.my/id/eprint/19622/ http://umpir.ump.edu.my/id/eprint/19622/ http://umpir.ump.edu.my/id/eprint/19622/ http://umpir.ump.edu.my/id/eprint/19622/1/19.%20RED-Based%20Technique%20for%20Detecting%20and%20Avoiding%20Anomaly%20Network%20Congestion1.pdf

id	ump-19622
recordtype	eprints
spelling	ump-196222018-11-12T07:18:36Z http://umpir.ump.edu.my/id/eprint/19622/ RED-Based Technique for Detecting and Avoiding Anomaly Network Congestion Montaser, Mohamed Mostafa Ahmed, Abdulghani Ali BF Psychology QA76 Computer software Active Queue Management (AQM) is an intelligent drop of network packets within the network routers as a result of buffer saturation to reduce network congestion. Random Early Detection (RED) mechanism is the most used mechanism among the existing AQMs, as it can avoid network congestion at the early stages. The RED mechanism prompts users to reduce their windows size when the queue average has exceeded a predefined threshold. However, some users do not respond to these notifications, and therefore, RED drops all packets in the link. This will generate a false alarm because the well-behaving packets on that link will be dropped as well. This study proposes a technique for monitoring gateways’ queues and dropping only the misbehaving packets. Every RED gateway reports the packet transfer rate (PTR) of misbehaving users that have exceeded their bandwidth shares to the SLA management (SLAM) unit. The SLAM unit will compute the users’ PTRs and compare them with their predefined ratios in the SLA. Users that have exceeded the SLA-predefined threshold will be considered as misbehaving and isolated from the normal users. The obtained results show that the proposed technique is efficient in identifying the misbehaving packets and avoiding network congestion. American Scientific Publisher 2018-11 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/19622/1/19.%20RED-Based%20Technique%20for%20Detecting%20and%20Avoiding%20Anomaly%20Network%20Congestion1.pdf Montaser, Mohamed Mostafa and Ahmed, Abdulghani Ali (2018) RED-Based Technique for Detecting and Avoiding Anomaly Network Congestion. Advanced Science Letters, 24 (10). p. 61. ISSN 1936-6612 https://doi.org/10.1166/asl.2018.12947 doi: 10.1166/asl.2018.12947
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	BF Psychology QA76 Computer software
spellingShingle	BF Psychology QA76 Computer software Montaser, Mohamed Mostafa Ahmed, Abdulghani Ali RED-Based Technique for Detecting and Avoiding Anomaly Network Congestion
description	Active Queue Management (AQM) is an intelligent drop of network packets within the network routers as a result of buffer saturation to reduce network congestion. Random Early Detection (RED) mechanism is the most used mechanism among the existing AQMs, as it can avoid network congestion at the early stages. The RED mechanism prompts users to reduce their windows size when the queue average has exceeded a predefined threshold. However, some users do not respond to these notifications, and therefore, RED drops all packets in the link. This will generate a false alarm because the well-behaving packets on that link will be dropped as well. This study proposes a technique for monitoring gateways’ queues and dropping only the misbehaving packets. Every RED gateway reports the packet transfer rate (PTR) of misbehaving users that have exceeded their bandwidth shares to the SLA management (SLAM) unit. The SLAM unit will compute the users’ PTRs and compare them with their predefined ratios in the SLA. Users that have exceeded the SLA-predefined threshold will be considered as misbehaving and isolated from the normal users. The obtained results show that the proposed technique is efficient in identifying the misbehaving packets and avoiding network congestion.
format	Article
author	Montaser, Mohamed Mostafa Ahmed, Abdulghani Ali
author_facet	Montaser, Mohamed Mostafa Ahmed, Abdulghani Ali
author_sort	Montaser, Mohamed Mostafa
title	RED-Based Technique for Detecting and Avoiding Anomaly Network Congestion
title_short	RED-Based Technique for Detecting and Avoiding Anomaly Network Congestion
title_full	RED-Based Technique for Detecting and Avoiding Anomaly Network Congestion
title_fullStr	RED-Based Technique for Detecting and Avoiding Anomaly Network Congestion
title_full_unstemmed	RED-Based Technique for Detecting and Avoiding Anomaly Network Congestion
title_sort	red-based technique for detecting and avoiding anomaly network congestion
publisher	American Scientific Publisher
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/19622/ http://umpir.ump.edu.my/id/eprint/19622/ http://umpir.ump.edu.my/id/eprint/19622/ http://umpir.ump.edu.my/id/eprint/19622/1/19.%20RED-Based%20Technique%20for%20Detecting%20and%20Avoiding%20Anomaly%20Network%20Congestion1.pdf
first_indexed	2023-09-18T22:28:04Z
last_indexed	2023-09-18T22:28:04Z
_version_	1777416100697341952

RED-Based Technique for Detecting and Avoiding Anomaly Network Congestion

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