Re-powering Service Provisioning in Federated Cloud Ecosystems: An Algorithm Combining Energy Sustainability and Cost-Saving Strategies
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.
KeywordsCloud computing Federation Brokerage Energy management Energy efficiency Energy sustainability Energy cost-saving
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.
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