Advertisement

Re-powering Service Provisioning in Federated Cloud Ecosystems: An Algorithm Combining Energy Sustainability and Cost-Saving Strategies

  • Maurizio Giacobbe
  • Antonio Celesti
  • Maria Fazio
  • Massimo Villari
  • Antonio Puliafito
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 707)

Abstract

Cloud federation offers new business models to enforce more flexible energy management strategies. Independent Cloud providers are exclusively bounded to the specific energy supplier powering its Data Centers. The situation radically change if we consider a federation of cooperating Cloud providers. In such a context a proper migration of virtual machines among providers can lead to global energy sustainability and cost-saving strategy. In this paper, we discuss a decision system for Cloud federation brokerage able to combine these two strategies. More specifically, we present Multi-Criteria Decision Making (MCDM) algorithm able to discover the most convenient Cloud providers candidate to join a particular energy-aware federation. In the end, modelling different possible real Cloud providers, we demonstrate how the algorithm can accommodate different Cloud federation scenarios characterized by particular energy-aware parameters.

Keywords

Cloud computing Federation Brokerage Energy management Energy efficiency Energy sustainability Energy cost-saving 

Notes

Acknowledgment

This work was partially supported by EU H2020 BEACON Project G.A. 644048, 2015–2018, and by SIGMA Project - Italian National Operative Program (PON), 2007–2013. Authors would like to thank Eng. Giulio De Meo for his technical support.

References

  1. 1.
    Bureau, P.R.: 2015 world population data (2015). http://www.prb.org/wpds/2015/
  2. 2.
    European Commission: Effort sharing decision. http://ec.europa.eu/clima/policies/effort/documentation_en.htm
  3. 3.
    European Commission: Digital single market. https://ec.europa.eu/digital-agenda/en/digital-single-market/
  4. 4.
    Giacobbe, M., Celesti, A., Fazio, M., Villari, M., Puliafito, A.: An approach to reduce energy costs through virtual machine migrations in cloud federation. In: IEEE Symposium on Computers and Communication (ISCC), pp. 782–787, July 2015Google Scholar
  5. 5.
    Chandrasekar, S.: A review of literature on cloud brokerage services. Int. J. Comput. Sci. Bus. Inf. 10(1) (2014)Google Scholar
  6. 6.
    Rochwerger, B., Breitgand, D., Epstein, A., Hadas, D., Loy, I., Nagin, K., Tordsson, J., Ragusa, C., Villari, M., Clayman, S., Levy, E., Maraschini, A., Massonet, P., Muñoz, H., Tofetti, G.: Reservoir - when one cloud is not enough. Computer 44(3), 44–51 (2011)CrossRefGoogle Scholar
  7. 7.
    Hamze, M., Mbarek, N., Togni, O.: Broker and federation based cloud networking architecture for IaaS and NaaS QoS guarantee. In: 13th IEEE Annual Consumer Communications Networking Conference (CCNC), pp. 705–710, January 2016Google Scholar
  8. 8.
    Usha, M., Akilandeswari, J., Fiaz, A.: An efficient QoS framework for cloud brokerage services. In: International Symposium on Cloud and Services Computing (ISCOS), pp. 76–79, December 2012Google Scholar
  9. 9.
    Tang, C., Liu, J.: Selecting a trusted cloud service provider for your saas program. Comput. Secur. 50, 60–73 (2015)CrossRefGoogle Scholar
  10. 10.
    The Eco2Clouds Project. http://eco2clouds.eu/
  11. 11.
    Wajid, U., Marín, C.A., Karageorgos, A.: Optimizing energy efficiency in the cloud using service composition and runtime adaptation techniques. In: IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 115–120, October 2013Google Scholar
  12. 12.
    Giacobbe, M., Celesti, A., Fazio, M., Villari, M., Puliafito, A.: Towards energy management in cloud federation: a survey in the perspective of future sustainable and cost-saving strategies. Comput. Netw. 91, 438–452 (2015)CrossRefGoogle Scholar
  13. 13.
    Scilab: Open source software for numerical computation. http://www.scilab.org/scilab
  14. 14.
    Ministry of Economy, Trade and Industry, Japan (METI): Enhancing the Energy Efficiency and Use of Green Energy in Data Centers. http://home.jeita.or.jp/greenit-pc/sd/pdf/ds2.pdf

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Maurizio Giacobbe
    • 1
  • Antonio Celesti
    • 1
  • Maria Fazio
    • 1
  • Massimo Villari
    • 1
  • Antonio Puliafito
    • 1
  1. 1.Department of EngineeringUniversity of MessinaMessinaItaly

Personalised recommendations