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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.

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