MuRA-LB: A Multi-Resources Aware Load-Balancing Strategy Exploiting Software-Defined Networking

In the new Software-Defined Networking (SDN) paradigm some challenges such as suitable traffic load distribution strategies, which can negatively affect the network performance, are faced. In this paper, a Multi-Resource Aware Load-Balancing strategy exploiting Software Defined Networking (SDN) programmability is presented. Our approach, leveraging the SDN controller, distributes the web requests to a web server cluster according to four metrics: CPU, Memory, Network Traffic, and Response Time of each web server. Through a comprehensive experimental campaign, we evaluated and assessed the advantages of the proposed load-balancing approach against basic methods like random selection and round-robin and also against recent advancements in load-balancing strategies that are considered more sophisticated and intelligent.

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Publication Details

Published
2025-01-10
DOI
https://doi.org/10.1109/ccnc54725.2025.10975895
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
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article

MuRA-LB: A Multi-Resources Aware Load-Balancing Strategy Exploiting Software-Defined Networking

Mauro Tropea, Mattia Giovanni Spina, Floriano De Rango, Alex Ramiro Masaquiza Caiza
Software-Defined Networks and 5G
article

MuRA-LB: A Multi-Resources Aware Load-Balancing Strategy Exploiting Software-Defined Networking

Mauro Tropea, Mattia Giovanni Spina, Floriano De Rango, Alex Ramiro Masaquiza Caiza
article en

Abstract

In the new Software-Defined Networking (SDN) paradigm some challenges such as suitable traffic load distribution strategies, which can negatively affect the network performance, are faced. In this paper, a Multi-Resource Aware Load-Balancing strategy exploiting Software Defined Networking (SDN) programmability is presented. Our approach, leveraging the SDN controller, distributes the web requests to a web server cluster according to four metrics: CPU, Memory, Network Traffic, and Response Time of each web server. Through a comprehensive experimental campaign, we evaluated and assessed the advantages of the proposed load-balancing approach against basic methods like random selection and round-robin and also against recent advancements in load-balancing strategies that are considered more sophisticated and intelligent.

University of Calabria (IT)
Openalex Percentile: Top 91%
Software-Defined Networks and 5G
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MuRA-LB: A Multi-Resources Aware Load-Balancing Strategy Exploiting Software-Defined Networking — Mauro Tropea, Mattia Giovanni Spina, et al. · (2025) | TGRS Research Map | TGRS