SmartCity 360 2016, SmartCity 360 2015: Smart City 360° pp 408-415 | Cite as

Energy Efficient Data Centres Within Smart Cities: IaaS and PaaS Optimizations

  • Corentin Dupont
  • Mehdi SheikhalishahiEmail author
  • Federico M. Facca
  • Silvio Cretti
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 166)


Data centres are power-hungry facilities that host ICT services and consume huge amount of the global electricity production. Consequently, in the last years, research trends in the field focused on mechanisms able to reduce the overall consumption of a data centre so as to reduce its energy footprint. In this paper, we argue that the data centres for city needs should be located physically in the smart city, in order to address smart city needs, and serve citizens without any latency. Furthermore, those data centres should strive to make their energy footprint greener, i.e. consume more renewable energy. We present the concept of Service Flexibility Agreement (SFA), an extension of the traditional SLA able to qualify the flexibility of applications deployed in a smart city cloud environment. In particular, we detail preliminary models able to exploit this flexibility in order to increase the ratio of renewable energy consumed. The introduction of new solutions, such as containers and platform as a service (PaaS) in cloud data-centres also opens new challenges and opportunities. We describe how the combination of PaaS and IaaS cloud layers provide the needed flexibility to support the SFA.


Platform as a Service Energy management Flexibility Scalability 



This work has been carried out within the European Project DC4Cities (FP7-ICT-2013.6.2).


  1. 1.
    Koomey, J.: Growth in Data Center Electricity Use 2005 to 2010. Analytics Press, Oakland, 1 August 2010 (2011)Google Scholar
  2. 2.
    Cardosa, M., Korupolu, M.R., Singh, A.: Shares and utilities based power consolidation in virtualized server environments. In: Proceedings of the 11th IFIP/IEEE Integrated Network Management (IM 2009), Long Island, NY, USA, June 2009Google Scholar
  3. 3.
    Schröder, K., Nebel, W.: Behavioral model for cloud aware load and power management. In: Proceedings of HotTopiCS 2013, 2013 International Workshop on Hot Topics in Cloud Services, pp. 19–26, ACM, May 2013Google Scholar
  4. 4.
    Hermenier, F., Lorca, X., Menaud, J.-M., Muller, G., Lawall, J.: Entropy: a consolidation manager for clusters. In: Proceedings of the 2009 ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, VEE 2009, pp. 41–50. ACM (2009)Google Scholar
  5. 5.
    Sheikhalishahi, M., Wallace, R.M., Grandinetti, L., Vazquez-Poletti, J.L., Guerriero, F.: A multi-capacity queuing mechanism in multi-dimensional resource scheduling. In: Pop, F., Potop-Butucaru, M. (eds.) ARMS-CC 2014. LNCS, vol. 8907, pp. 9–25. Springer, Heidelberg (2014)Google Scholar
  6. 6.
    Dupont, C., Hermenier, F., Schulze, T., Basmadjian, R., Somov, A., Giuliani, G.: Plug4green: a flexible energy-aware vm manager to fit data centre particularities. Ad Hoc Netw. 25, 505–519 (2015)CrossRefGoogle Scholar
  7. 7.
    Alvares de Oliveira Jr., F., Sharrock, R., Ledoux, T.: Synchronization of multiple autonomic control loops: application to cloud computing. In: Sirjani, M. (ed.) COORDINATION 2012. LNCS, vol. 7274, pp. 29–43. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  8. 8.
    de Oliveira, F.A., Ledoux, T., Sharrock, R.: A framework for the coordination of multiple autonomic managers in cloud environments. In: 2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems (SASO), pp. 179–188, September 2013Google Scholar
  9. 9.
    Vaquero, L.M., Rodero-Merino, L., Buyya, R.: Dynamically scaling applications in the cloud. SIGCOMM Comput. Commun. Rev. 41(1), 45–52 (2011)CrossRefGoogle Scholar
  10. 10.
    Carpen-Amarie, A., Dib, D., Orgerie, A.-C, Pierre, G.: Towards energy-aware IaaS-PaaS co-design. In: SMARTGREENS 2014, pp. 203–208 (2014)Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016

Authors and Affiliations

  • Corentin Dupont
    • 1
  • Mehdi Sheikhalishahi
    • 1
    Email author
  • Federico M. Facca
    • 1
  • Silvio Cretti
    • 1
  1. 1.Create-NetTrentoItaly

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