A Survey on Load Balancing, Routing, and Congestion in SDN

High traffic could result in load imbalance or network congestion, which degrades the network’s performance and efficiency. Thus, it is crucial to adopt efficient routing and load balancing models to face these challenging issues. Additionally, when investigating a new approach, it is essential to c...

Full description

Bibliographic Details
Main Authors: Amthal Mousa, Mohammed Abdullah
Format: Article
Language:English
Published: Unviversity of Technology- Iraq 2022-10-01
Series:Engineering and Technology Journal
Subjects:
Online Access:https://etj.uotechnology.edu.iq/article_174991_0ebee97791cb8c7db89fd63d56b7a7be.pdf
_version_ 1797337707567906816
author Amthal Mousa
Mohammed Abdullah
author_facet Amthal Mousa
Mohammed Abdullah
author_sort Amthal Mousa
collection DOAJ
description High traffic could result in load imbalance or network congestion, which degrades the network’s performance and efficiency. Thus, it is crucial to adopt efficient routing and load balancing models to face these challenging issues. Additionally, when investigating a new approach, it is essential to consider the most important metrics to evaluate this potential approach precisely. This paper presents an intensive analysis of recently available SDN-based load balancing and routing techniques. Furthermore, the features and issues of each technique are stated. Moreover, the most important metrics that should be evaluated are statically analyzed. Also, a brief survey of available network congestion solutions is shown. Additionally, taxonomies of available load balancing, routing techniques, and congestion solutions are presented. Finally, we shed light on the trends, promising techniques, and future directions’ suggestions that could be utilized further in research. Investigating SDN-based research published by well-known academic publishers in the last six years shows that enhancing network performance and AI-based approaches are the highest investigated topics with 28% and 27%, respectively, of the total investigated issues. Other topics took lower percentages. As far as we know, this study is the first work that jointly surveys and categorizes all existing approaches in the field of decreasing delay and congestion in SDN-based networks
first_indexed 2024-03-08T09:17:30Z
format Article
id doaj.art-c5526672e49c492487e79420fb33c048
institution Directory Open Access Journal
issn 1681-6900
2412-0758
language English
last_indexed 2024-03-08T09:17:30Z
publishDate 2022-10-01
publisher Unviversity of Technology- Iraq
record_format Article
series Engineering and Technology Journal
spelling doaj.art-c5526672e49c492487e79420fb33c0482024-01-31T14:27:57ZengUnviversity of Technology- IraqEngineering and Technology Journal1681-69002412-07582022-10-0140101284129410.30684/etj.2022.132886.1150174991A Survey on Load Balancing, Routing, and Congestion in SDNAmthal Mousa0Mohammed Abdullah1Computer Engineering Department, University of Technology-Iraq, Baghdad, IraqComputer Engineering Department, University of Technology-Iraq, Baghdad, IraqHigh traffic could result in load imbalance or network congestion, which degrades the network’s performance and efficiency. Thus, it is crucial to adopt efficient routing and load balancing models to face these challenging issues. Additionally, when investigating a new approach, it is essential to consider the most important metrics to evaluate this potential approach precisely. This paper presents an intensive analysis of recently available SDN-based load balancing and routing techniques. Furthermore, the features and issues of each technique are stated. Moreover, the most important metrics that should be evaluated are statically analyzed. Also, a brief survey of available network congestion solutions is shown. Additionally, taxonomies of available load balancing, routing techniques, and congestion solutions are presented. Finally, we shed light on the trends, promising techniques, and future directions’ suggestions that could be utilized further in research. Investigating SDN-based research published by well-known academic publishers in the last six years shows that enhancing network performance and AI-based approaches are the highest investigated topics with 28% and 27%, respectively, of the total investigated issues. Other topics took lower percentages. As far as we know, this study is the first work that jointly surveys and categorizes all existing approaches in the field of decreasing delay and congestion in SDN-based networkshttps://etj.uotechnology.edu.iq/article_174991_0ebee97791cb8c7db89fd63d56b7a7be.pdfsdnload balancingroutingcongestiontaxonomy
spellingShingle Amthal Mousa
Mohammed Abdullah
A Survey on Load Balancing, Routing, and Congestion in SDN
Engineering and Technology Journal
sdn
load balancing
routing
congestion
taxonomy
title A Survey on Load Balancing, Routing, and Congestion in SDN
title_full A Survey on Load Balancing, Routing, and Congestion in SDN
title_fullStr A Survey on Load Balancing, Routing, and Congestion in SDN
title_full_unstemmed A Survey on Load Balancing, Routing, and Congestion in SDN
title_short A Survey on Load Balancing, Routing, and Congestion in SDN
title_sort survey on load balancing routing and congestion in sdn
topic sdn
load balancing
routing
congestion
taxonomy
url https://etj.uotechnology.edu.iq/article_174991_0ebee97791cb8c7db89fd63d56b7a7be.pdf
work_keys_str_mv AT amthalmousa asurveyonloadbalancingroutingandcongestioninsdn
AT mohammedabdullah asurveyonloadbalancingroutingandcongestioninsdn
AT amthalmousa surveyonloadbalancingroutingandcongestioninsdn
AT mohammedabdullah surveyonloadbalancingroutingandcongestioninsdn