Fernandez-Fernandez et al 2017a - Revision history

Scipediacontent at 18:54, 28 January 2021

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Created page with " == Abstract == [EN] Increasing power consumption and CO2 emissions generated by large data networks have become a major concern over the last decade. For this problem, the..."

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== Abstract ==

[EN] Increasing power consumption and CO2 emissions generated by large data networks have become a major concern over the last decade. For this problem, the emerging paradigm of Software-Defined Networks (SDN) can be seen as an attractive solution. In these networks an energy-aware routing model could be easily implemented leveraging the control and data plane separation. This paper investigates the impact of energy-aware routing on SDN performance. To that end, we propose a novel energy- aware mechanism that reduces the number of active links in SDN with multiple controllers, considering in-band control traffic, i.e. links are shared between data and control plane traffic. The proposed strategy exploits knowledge of the network topology combined with traffic engineering techniques to reduce the overall power consumption. Therefore, two heuristic algorithms are designed: a static network configuration and a dynamic energy-aware routing. Significant values of switched-off links are reached in the simulations using real topologies and demands data. Moreover, obtained results confirm that crucial network parameters such as control traffic delay, data path latency, link utilization and TCAM occupation are affected by the performance-agnostic energy-aware model. This work has been supported by the Ministerio de EconomÂ´Ä±a y Competitividad of the Spanish Government under project TEC2016-76795-C6-1-R and AEI/FEDER, UE and through a predoctoral FPI scholarship. FernÃ¡ndez-FernÃ¡ndez, A.; CervellÃ³-Pastor, C.; Ochoa-Aday, L. (2018). Evaluating the Impact of Energy-Aware Routing on Software-Defined Networking Performance. En XIII Jornadas de IngenierÃa telemÃ¡tica (JITEL 2017). Libro de actas. Editorial Universitat PolitÃ¨cnica de ValÃ¨ncia. 241-248. https://doi.org/10.4995/JITEL2017.2017.6489 OCS 241 248

== Original document ==

The different versions of the original document can be found in:

* [http://hdl.handle.net/10251/101922 http://hdl.handle.net/10251/101922]

* [http://hdl.handle.net/2117/116458 http://hdl.handle.net/2117/116458] under the license http://creativecommons.org/licenses/by-nc-nd/3.0/es/

* [http://ocs.editorial.upv.es/index.php/JITEL/JITEL2017/paper/download/6489/3193 http://ocs.editorial.upv.es/index.php/JITEL/JITEL2017/paper/download/6489/3193]

* [http://ocs.editorial.upv.es/index.php/JITEL/JITEL2017/paper/viewFile/6489/3193 http://ocs.editorial.upv.es/index.php/JITEL/JITEL2017/paper/viewFile/6489/3193],
: [http://dx.doi.org/10.4995/jitel2017.2017.6489 http://dx.doi.org/10.4995/jitel2017.2017.6489]

* [https://upcommons.upc.edu/handle/2117/116458 https://upcommons.upc.edu/handle/2117/116458],
: [https://riunet.upv.es/handle/10251/101922 https://riunet.upv.es/handle/10251/101922],
: [http://ocs.editorial.upv.es/index.php/JITEL/JITEL2017/paper/view/6489 http://ocs.editorial.upv.es/index.php/JITEL/JITEL2017/paper/view/6489],
: [http://ocs.editorial.upv.es/index.php/JITEL/JITEL2017/paper/download/6489/3193 http://ocs.editorial.upv.es/index.php/JITEL/JITEL2017/paper/download/6489/3193],
: [https://academic.microsoft.com/#/detail/2767287017 https://academic.microsoft.com/#/detail/2767287017]

DOIS: 10.4995/jitel2017.2017.6489 10.4995/jitel2017.2017.64

← Older revision		Revision as of 18:54, 28 January 2021
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	== Abstract ==		== Abstract ==

−	[EN] Increasing power consumption and CO2 emissions generated by large data networks have become a major concern over the last decade. For this problem, the emerging paradigm of Software-Defined Networks (SDN) can be seen as an attractive solution. In these networks an energy-aware routing model could be easily implemented leveraging the control and data plane separation. This paper investigates the impact of energy-aware routing on SDN performance. To that end, we propose a novel energy- aware mechanism that reduces the number of active links in SDN with multiple controllers, considering in-band control traffic, i.e. links are shared between data and control plane traffic. The proposed strategy exploits knowledge of the network topology combined with traffic engineering techniques to reduce the overall power consumption. Therefore, two heuristic algorithms are designed: a static network configuration and a dynamic energy-aware routing. Significant values of switched-off links are reached in the simulations using real topologies and demands data. Moreover, obtained results confirm that crucial network parameters such as control traffic delay, data path latency, link utilization and TCAM occupation are affected by the performance-agnostic energy-aware model. This work has been supported by the Ministerio de ~~EconomÂ´Ä±a~~ y Competitividad of the Spanish Government under project TEC2016-76795-C6-1-R and AEI/FEDER, UE and through a predoctoral FPI scholarship. ~~FernÃ¡ndez~~-~~FernÃ¡ndez~~, A.; ~~CervellÃ³~~-Pastor, C.; Ochoa-Aday, L. (2018). Evaluating the Impact of Energy-Aware Routing on Software-Defined Networking Performance. En XIII Jornadas de ~~IngenierÃa telemÃ¡tica~~ (JITEL 2017). Libro de actas. Editorial Universitat ~~PolitÃ¨cnica~~ de ~~ValÃ¨ncia~~. 241-248. https://doi.org/10.4995/JITEL2017.2017.6489 OCS 241 248	+	[EN] Increasing power consumption and CO2 emissions generated by large data networks have become a major concern over the last decade. For this problem, the emerging paradigm of Software-Defined Networks (SDN) can be seen as an attractive solution. In these networks an energy-aware routing model could be easily implemented leveraging the control and data plane separation. This paper investigates the impact of energy-aware routing on SDN performance. To that end, we propose a novel energy- aware mechanism that reduces the number of active links in SDN with multiple controllers, considering in-band control traffic, i.e. links are shared between data and control plane traffic. The proposed strategy exploits knowledge of the network topology combined with traffic engineering techniques to reduce the overall power consumption. Therefore, two heuristic algorithms are designed: a static network configuration and a dynamic energy-aware routing. Significant values of switched-off links are reached in the simulations using real topologies and demands data. Moreover, obtained results confirm that crucial network parameters such as control traffic delay, data path latency, link utilization and TCAM occupation are affected by the performance-agnostic energy-aware model. This work has been supported by the Ministerio de Econom´ıa y Competitividad of the Spanish Government under project TEC2016-76795-C6-1-R and AEI/FEDER, UE and through a predoctoral FPI scholarship. Fernández-Fernández, A.; Cervelló-Pastor, C.; Ochoa-Aday, L. (2018). Evaluating the Impact of Energy-Aware Routing on Software-Defined Networking Performance. En XIII Jornadas de Ingeniería telemática (JITEL 2017). Libro de actas. Editorial Universitat Politècnica de València. 241-248. https://doi.org/10.4995/JITEL2017.2017.6489 OCS 241 248

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