An Energy-aware Brokering Algorithm to Improve Sustainability in Community Cloud

Maurizio Giacobbe, Marco Scarpa, Riccardo Di Pietro, Antonio Puliafito

2017

Abstract

Cloud computing is a paradigm for large scale distributed infrastructures, platforms or software services which represents a hot topic in Information Technology (IT) recently in both industrial and academic areas. Its use is motivated by the possibility to promote a new economy of scale in different contexts. Along with the well-known public, private and hybrid Cloud models, the Community Cloud is an emerging concept based on a deployment model in which a Cloud infrastructure allows a specific community of consumers to share interests, goals and responsibilities. It can be owned and managed by the community, by a third party, or a combination of them. In such scenario, new low-carbon strategies at Cloud sites are necessary to allow those latter to reduce the consumption in presence of a massive exploitation of IT services. Therefore, balancing performances with both sustainability and cost saving concepts is a challenge. In this paper, we present a low carbon strategy designed to make the best choice in resources allocation, based on sustainability, availability and costs. The proposed energy-aware Brokering Algorithm (eBA) allows to push down carbon dioxide emissions through the Community Cloud ecosystem, by running instances at the most convenient sites.

References

  1. (2012). The Ministry of Economy Trade and Industry (METI) Japan Project - Enhancing the Energy Efficiency and Use of Green Energy in Data Centers. http://home.jeita.or.jp/greenit-pc/sd/pdf/ds2.pdf.
  2. (2012). New data center energy efficiency evaluation index. dppe (datacenter performance per energy) measurement guidelines. (ver. 205). Technical report, Green IT Promotion Council.
  3. (2014). The Carbon Dioxide Intensity Of Electricity, Intergovernmental Panel on Climate Change (IPCC) Report. http://www.ipcc.ch/.
  4. CHANDRASEKAR, S. (2014). A review of literature on cloud brokerage services. International Journal of Computer Science and Business Informatics, 10(1).
  5. Giacobbe, M., Celesti, A., Fazio, M., Villari, M., and Puliafito, A. (2015). Towards energy management in cloud federation: A survey in the perspective of future sustainable and cost-saving strategies. Computer Networks, 91:438 - 452.
  6. Giacobbe, M., DiPietro, R., Puliafito, C., and Scarpa, M. (2016). J2CBROKER: A service broker simulation tool for cooperative clouds. In 10th EAI International Conference on Performance Evaluation Methodologies and Tools (Valuetools 2016).
  7. Hamze, M., Mbarek, N., and Togni, O. (2016). Broker and federation based cloud networking architecture for iaas and naas qos guarantee. In 2016 13th IEEE Annual Consumer Communications Networking Conference (CCNC), pages 705-710.
  8. Kessaci, Y., Melab, N., and Talbi, E.-G. (2013). A pareto-based metaheuristic for scheduling hpc applications on a geographically distributed cloud federation. Cluster Computing, 16(3):451-468.
  9. Murugesan, S. and Bojanova, I. (2016). Community Clouds, pages 744-. Wiley-IEEE Press.
  10. Usha, M., Akilandeswari, J., and Fiaz, A. (2012). An efficient qos framework for cloud brokerage services. In International Symposium on Cloud and Services Computing (ISCOS), pages 76-79.
  11. Volk, E., Tenschert, A., Gienger, M., Oleksiak, A., Sis, L., and Salom, J. (2013). Improving energy efficiency in data centers and federated cloud environments. In CGC, pages 443-450.
Download


Paper Citation


in Harvard Style

Giacobbe M., Scarpa M., Di Pietro R. and Puliafito A. (2017). An Energy-aware Brokering Algorithm to Improve Sustainability in Community Cloud . In Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS, ISBN 978-989-758-241-7, pages 166-173. DOI: 10.5220/0006300201660173


in Bibtex Style

@conference{smartgreens17,
author={Maurizio Giacobbe and Marco Scarpa and Riccardo Di Pietro and Antonio Puliafito},
title={An Energy-aware Brokering Algorithm to Improve Sustainability in Community Cloud},
booktitle={Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,},
year={2017},
pages={166-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006300201660173},
isbn={978-989-758-241-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,
TI - An Energy-aware Brokering Algorithm to Improve Sustainability in Community Cloud
SN - 978-989-758-241-7
AU - Giacobbe M.
AU - Scarpa M.
AU - Di Pietro R.
AU - Puliafito A.
PY - 2017
SP - 166
EP - 173
DO - 10.5220/0006300201660173