VNR_LBP: A New Approach to Congestion Control Using Virtualization and Switch Migration in SDN

Abstract In order to improve network performance, traffic management is imperative. In addition to increasing the volume of network data, software-defined networks have expanded and the amount of information exchanged between the data plane and the control plane has increased. This will lead to congestion and reduce network efficiency because more traffic will flow through these networks. Congestion in these networks can be controlled effectively with switch migration. A mechanism that provides congestion control through the virtual migration of switches is presented, known as Virtual Network Request Load Balancing Profit (VNR_LBP). It is a problem to have many requests at a switch node, and to solve it, there is an effective solution. Network virtualization allows the controller to migrate switches into this space by taking advantage of available resources in switches and links. In order to control congestion, we have calculated the profit function of nodes and links to determine how much congestion exists. We also request a virtual network (VNR) to reduce load and manage resources. Lastly, the proposed method was evaluated using NS2 simulator according to various criteria. Simulated results show that in comparison with the basic method, the proposed method increases throughput by about 4.3%, decreases delay by about 5.3%, and reduces the average cost by 26%.

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Publication Details

Journal
Wireless Personal Communications
Published
2024-11-01
DOI
https://doi.org/10.1007/s11277-024-11492-7
Citations
2
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
0.70

Funders

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article

VNR_LBP: A New Approach to Congestion Control Using Virtualization and Switch Migration in SDN

Mohammadreza Mollahoseini Ardakani, Amir Javadpour, Vahid Ayatollahitafti, MohammadReza Mollakhalili Meybodi et al.
2 citations
Wireless Personal Communications
Software-Defined Networks and 5G
0.70
article

VNR_LBP: A New Approach to Congestion Control Using Virtualization and Switch Migration in SDN

Mohammadreza Mollahoseini Ardakani, Amir Javadpour, Vahid Ayatollahitafti, MohammadReza Mollakhalili Meybodi, MohammadReza Jenabzadeh
article en
2 citations

Abstract

Abstract In order to improve network performance, traffic management is imperative. In addition to increasing the volume of network data, software-defined networks have expanded and the amount of information exchanged between the data plane and the control plane has increased. This will lead to congestion and reduce network efficiency because more traffic will flow through these networks. Congestion in these networks can be controlled effectively with switch migration. A mechanism that provides congestion control through the virtual migration of switches is presented, known as Virtual Network Request Load Balancing Profit (VNR_LBP). It is a problem to have many requests at a switch node, and to solve it, there is an effective solution. Network virtualization allows the controller to migrate switches into this space by taking advantage of available resources in switches and links. In order to control congestion, we have calculated the profit function of nodes and links to determine how much congestion exists. We also request a virtual network (VNR) to reduce load and manage resources. Lastly, the proposed method was evaluated using NS2 simulator according to various criteria. Simulated results show that in comparison with the basic method, the proposed method increases throughput by about 4.3%, decreases delay by about 5.3%, and reduces the average cost by 26%.

Wireless Personal CommunicationsVol. 139(2)
Islamic Azad University, Tehran (IR), Islamic Azad University Maybod (IR), University of Oulu (FI)
Oulun Yliopisto
Reduced inequalities
Openalex Percentile: Top 26%
Software-Defined Networks and 5G
0.70
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VNR_LBP: A New Approach to Congestion Control Using Virtualization and Switch Migration in SDN — Mohammadreza Mollahoseini Ardakani, Amir Javadpour, et al. · Wireless Personal Communications (2024) | TGRS Research Map | TGRS