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Energy Efficiency and Network Performance: A Reality Check in SDN-Based 5G Systems

Author

Listed:
  • Adriana Fernández-Fernández

    (Department of Network Engineering, Universitat Politècnica de Catalunya (UPC), Esteve Terradas, 7, 08860 Castelldefels, Spain)

  • Cristina Cervelló-Pastor

    (Department of Network Engineering, Universitat Politècnica de Catalunya (UPC), Esteve Terradas, 7, 08860 Castelldefels, Spain)

  • Leonardo Ochoa-Aday

    (Department of Network Engineering, Universitat Politècnica de Catalunya (UPC), Esteve Terradas, 7, 08860 Castelldefels, Spain)

Abstract

The increasing power consumption and related environmental implications currently generated by large data networks have become a major concern over the last decade. Given the drastic traffic increase expected in 5G dense environments, the energy consumption problem becomes even more concerning and challenging. In this context, Software-Defined Networks (SDN), a key technology enabler for 5G systems, can be seen as an attractive solution. In these programmable networks, an energy-aware solution could be easily implemented leveraging the capabilities provided by control and data plane separation. This paper investigates the impact of energy-aware routing on network 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. 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 where real topologies and demands data are used. Moreover, the obtained results confirm that crucial network parameters such as control traffic delay, data path latency, link utilization and Ternary Content Addressable Memory (TCAM) occupation are affected by the performance-agnostic energy-aware model.

Suggested Citation

  • Adriana Fernández-Fernández & Cristina Cervelló-Pastor & Leonardo Ochoa-Aday, 2017. "Energy Efficiency and Network Performance: A Reality Check in SDN-Based 5G Systems," Energies, MDPI, vol. 10(12), pages 1-27, December.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:12:p:2132-:d:122982
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    Citations

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    Cited by:

    1. Krzysztof Przystupa & Mykola Beshley & Mykola Kaidan & Volodymyr Andrushchak & Ivan Demydov & Orest Kochan & Daniel Pieniak, 2020. "Methodology and Software Tool for Energy Consumption Evaluation and Optimization in Multilayer Transport Optical Networks," Energies, MDPI, vol. 13(23), pages 1-21, December.
    2. Ming Yan & Chien Aun Chan & André F. Gygax & Jinyao Yan & Leith Campbell & Ampalavanapillai Nirmalathas & Christopher Leckie, 2019. "Modeling the Total Energy Consumption of Mobile Network Services and Applications," Energies, MDPI, vol. 12(1), pages 1-18, January.

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