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

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

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.

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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