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An SDN Focused Approach for Energy Aware Traffic Engineering in Data Centers

There is a lot of effort to limit the impact of CO(2) emissions from the information communication technologies (ICT) industry by reducing the energy consumption on all aspects of networking technologies. In a service provider network, data centers (DCs) are the major power consumer and considerable...

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Detalles Bibliográficos
Autores principales: Charalampou, Paris, Sykas, Efstathios D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767089/
https://www.ncbi.nlm.nih.gov/pubmed/31540115
http://dx.doi.org/10.3390/s19183980
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author Charalampou, Paris
Sykas, Efstathios D.
author_facet Charalampou, Paris
Sykas, Efstathios D.
author_sort Charalampou, Paris
collection PubMed
description There is a lot of effort to limit the impact of CO(2) emissions from the information communication technologies (ICT) industry by reducing the energy consumption on all aspects of networking technologies. In a service provider network, data centers (DCs) are the major power consumer and considerable gains are expected by regulating the operation network devices. In this context, we developed a mixed integer programming (MIP) algorithm to optimize the power consumption of network devices via energy aware traffic engineering. We verified our approach by simulating DC network topologies and demonstrated that clear benefits can be achieved for various network sizes and traffic volumes. Our algorithm can be easily implemented as an application in the software-defined networking (SDN) paradigm, making quite feasible its deployment in a production environment.
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spelling pubmed-67670892019-10-02 An SDN Focused Approach for Energy Aware Traffic Engineering in Data Centers Charalampou, Paris Sykas, Efstathios D. Sensors (Basel) Article There is a lot of effort to limit the impact of CO(2) emissions from the information communication technologies (ICT) industry by reducing the energy consumption on all aspects of networking technologies. In a service provider network, data centers (DCs) are the major power consumer and considerable gains are expected by regulating the operation network devices. In this context, we developed a mixed integer programming (MIP) algorithm to optimize the power consumption of network devices via energy aware traffic engineering. We verified our approach by simulating DC network topologies and demonstrated that clear benefits can be achieved for various network sizes and traffic volumes. Our algorithm can be easily implemented as an application in the software-defined networking (SDN) paradigm, making quite feasible its deployment in a production environment. MDPI 2019-09-14 /pmc/articles/PMC6767089/ /pubmed/31540115 http://dx.doi.org/10.3390/s19183980 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Charalampou, Paris
Sykas, Efstathios D.
An SDN Focused Approach for Energy Aware Traffic Engineering in Data Centers
title An SDN Focused Approach for Energy Aware Traffic Engineering in Data Centers
title_full An SDN Focused Approach for Energy Aware Traffic Engineering in Data Centers
title_fullStr An SDN Focused Approach for Energy Aware Traffic Engineering in Data Centers
title_full_unstemmed An SDN Focused Approach for Energy Aware Traffic Engineering in Data Centers
title_short An SDN Focused Approach for Energy Aware Traffic Engineering in Data Centers
title_sort sdn focused approach for energy aware traffic engineering in data centers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6767089/
https://www.ncbi.nlm.nih.gov/pubmed/31540115
http://dx.doi.org/10.3390/s19183980
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