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Sensors 2018, 18(11), 3915; https://doi.org/10.3390/s18113915

Matching SDN and Legacy Networking Hardware for Energy Efficiency and Bounded Delay

atlanTTic Research Center, University of Vigo, 36310 Vigo, Spain
This paper is an extended version of our paper published in Fondo-Ferreiro, P.; Rodríguez-Pérez, M.; Fernández-Veiga, M. Implementing Energy Saving Algorithms for Ethernet Link Aggregates with ONOS. In Proceedings of the 2018 Fifth International Conference on Software Defined Systems (SDS), Barcelona, Spain, 23–26 April 2018 and Fondo Ferreiro, P.; Rodríguez Pérez, M.; Fernández Veiga, M. QoS-aware Energy-Efficient Algorithms for Ethernet Link Aggregates in Software-Defined Networks. In Proceedings of the 9th Symposium on Green Networking and Computing (SGNC 2018), Split-Supetar, Croatia, 13–15 September 2018.
These authors contributed equally to this work.
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Received: 3 October 2018 / Revised: 29 October 2018 / Accepted: 8 November 2018 / Published: 13 November 2018
(This article belongs to the Special Issue Green, Energy-Efficient and Sustainable Networks)
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Abstract

Both economic and environmental costs are driving much research in the area of the energy efficiency of networking equipment. This research has produced a great amount of proposals. However, the majority of them remain unimplemented due to the lack of flexibility of current hardware devices and a certain lack of enthusiasm from commercial vendors. At the same time, Software-Defined Networking (SDN) has allowed customers to control switching decisions with a flexibility and precision previously unheard of. This paper explores the potential convergence between the two aforementioned trends and presents a promising power saving algorithm that can be implemented using standard SDN capabilities of current switches, reducing operation costs on both data centers and wired access networks. In particular, we focus on minimizing the energy consumption in bundles of energy-efficient Ethernet links leveraging SDN. For this, we build on an existing theoretical algorithm and adapt it for implementing with an SDN solution. We study several approaches and compare the resulting algorithms not only according to their energy efficiency, but also taking into account additional QoS metrics. The results show that the resulting algorithm is able to closely match the theoretical results, even when taking into account the requirements of delay-sensitive traffic. View Full-Text
Keywords: energy-efficient Ethernet; QoS; SDN; real-time traffic; ONOS energy-efficient Ethernet; QoS; SDN; real-time traffic; ONOS
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Fondo-Ferreiro, P.; Rodríguez-Pérez, M.; Fernández-Veiga, M.; Herrería-Alonso, S. Matching SDN and Legacy Networking Hardware for Energy Efficiency and Bounded Delay. Sensors 2018, 18, 3915.

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