Authors:
Maurizio Giacobbe
;
Marco Scarpa
;
Riccardo Di Pietro
and
Antonio Puliafito
Affiliation:
University of Messina, Italy
Keyword(s):
Cloud Computing, Community Cloud, Energy-aware Brokering, Green Cloud, Low Carbon, Resource Allocation, Sustainability, Virtualization.
Related
Ontology
Subjects/Areas/Topics:
Algorithms for Reduced Power, Energy and Heat
;
Energy and Economy
;
Green Computing Models, Methodologies and Paradigms
;
Green Data Centers
;
Green Software Engineering Methodologies and Tools
;
Sustainable Computing and Communications
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 mak
e 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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