Advertisement

A Large-Scale Wired Network Energy Model for Flow-Level Simulations

  • Loic Guegan
  • Betsegaw Lemma Amersho
  • Anne-Cécile OrgerieEmail author
  • Martin Quinson
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 926)

Abstract

The use of simulators to predict network energy consumption is a good way for scientists to improve and develop new algorithms and also to assess them. However, the average size of a network platforms is continuously increasing with the emergence of new technologies like the Internet Of Things and Fog Computing. Packet-level simulators start to reach their limits in terms of performance and this calls for newer solutions in the domain of large-scale platform energy models. In this paper, we propose two energy models for wired networks adapted to flow level simulators in order to estimate the energy consumption of large platforms. An evaluation of these models is proposed and it demonstrates their applicability in practice and their accuracy. Indeed, we obtain simulation results with a relative error lower than 4% compared to an ns-3-based solution, and our flow-based simulation is 120 times faster.

References

  1. 1.
    Bonomi, F., Milito, R., Zhu, J., Addepalli, S.: Fog computing and its role in the internet of things. In: MCC Workshop on Mobile Cloud Computing (2012)Google Scholar
  2. 2.
    Cornea, B.F., Orgerie, A.C., Lefèvre, L.: Studying the energy consumption of data transfers in Clouds: the Ecofen approach. In: IEEE CloudNet, pp. 143–148 (2014)Google Scholar
  3. 3.
    Culler, D., et al.: LogP: towards a realistic model of parallel computation. ACM SIGPLAN Not. 28, 1–12 (1993)CrossRefGoogle Scholar
  4. 4.
    Fiandrino, C., Kliazovich, D., Bouvry, P., Zomaya, A.Y.: Performance metrics for data center communication systems. In: IEEE CLOUD (2015)Google Scholar
  5. 5.
    Guegan, L., Orgerie, A.C., Quinson, M.: Reproducible experiments repository (2018). https://gitlab.inria.fr/lguegan/flowlvlwiredenergy
  6. 6.
    Kliazovich, D., Bouvry, P., Audzevich, Y., Khan, S.U.: GreenCloud: a packet-level simulator of energy-aware cloud computing data centers. In: IEEE GLOBECOM (2010)Google Scholar
  7. 7.
    Legrand, A., Marchal, L., Casanova, H.: Scheduling distributed applications: the SimGrid simulation framework. In: IEEE/ACM CCGrid (2003)Google Scholar
  8. 8.
    Orgerie, A.C., Lefèvre, L., Guérin-Lassous, I., Pacheco, D.M.L.: ECOFEN: an end-to-end energy cost model and simulator for evaluating power consumption in large-scale networks. In: Sustainet (WoWMoM Workshop) (2011)Google Scholar
  9. 9.
    Orgerie, A.C., et al.: Simulation toolbox for studying energy consumption in wired networks. In: International Conference on Network and Service Management (2017)Google Scholar
  10. 10.
    Quinson, M., Rosa, C., Thiéry, C.: Parallel simulation of peer-to-peer systems. In: IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) (2012)Google Scholar
  11. 11.
    Sivaraman, V., Vishwanath, A., Zhao, Z., Russell, C.: Profiling per-packet and per-byte energy consumption in the NetFPGA gigabit router. In: INFOCOM Workshops (2011)Google Scholar
  12. 12.
    Van Heddeghem, W., Lambert, S., Lannoo, B., Colle, D., Pickavet, M., Demeester, P.: Trends in worldwide ICT electricity consumption from 2007 to 2012. Comput. Commun. 50, 64–76 (2014)CrossRefGoogle Scholar
  13. 13.
    Velho, P., Schnorr, L.M., Casanova, H., Legrand, A.: On the validity of flow-level TCP network models for grid and cloud simulations. ACM Trans. Model. Comput. Simul. 23(4) (2013)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Loic Guegan
    • 1
  • Betsegaw Lemma Amersho
    • 1
  • Anne-Cécile Orgerie
    • 1
    Email author
  • Martin Quinson
    • 1
  1. 1.Univ. Rennes, Inria, CNRS, IRISARennesFrance

Personalised recommendations