A Multi-Resources Load-Balancing Policy in SDN

In this paper we introduce a Multi-Resource LoadBalancing policy that exploits the programmability of SDN to intelligently distribute the users’ traffic across a cluster of web servers based on four key metrics of the web servers: CPU, Memory, Bandwidth utilization, and Response Time. We evaluated and demonstrated how the proposal outperform not only naive load-balancing strategies, like Random and Round Robin, but also more informed and sophisticated ones.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/telfor63250.2024.10819098
Primary Topic
Software-Defined Networks and 5G
Type
article
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article

A Multi-Resources Load-Balancing Policy in SDN

Luis Miguel Samaniego Campoverde, Alex Ramiro Masaquiza Caiza
Software-Defined Networks and 5G
article

A Multi-Resources Load-Balancing Policy in SDN

Luis Miguel Samaniego Campoverde, Alex Ramiro Masaquiza Caiza
article en

Abstract

In this paper we introduce a Multi-Resource LoadBalancing policy that exploits the programmability of SDN to intelligently distribute the users’ traffic across a cluster of web servers based on four key metrics of the web servers: CPU, Memory, Bandwidth utilization, and Response Time. We evaluated and demonstrated how the proposal outperform not only naive load-balancing strategies, like Random and Round Robin, but also more informed and sophisticated ones.

University of Calabria (IT)
Openalex Percentile: Top 71%
Software-Defined Networks and 5G
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A Multi-Resources Load-Balancing Policy in SDN — Luis Miguel Samaniego Campoverde, Alex Ramiro Masaquiza Caiza · (2024) | TGRS Research Map | TGRS