NDLI: An approach to reduce energy costs through virtual machine migrations in cloud federation

Content Provider	IEEE Xplore Digital Library
Author	Giacobbe, Maurizio Celesti, Antonio Fazio, Maria Villari, Massimo Puliafito, Antonio
Copyright Year	2015
Description	Author affiliation: DICIEAMA, University of Messina, Contrada di Dio - 98166 Messina, Italy (Giacobbe, Maurizio; Celesti, Antonio; Fazio, Maria; Villari, Massimo; Puliafito, Antonio)
Abstract	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 a global energy cost-saving strategy. In this paper, we present an approach to reduce energy cost in a federated Cloud ecosystem. More specifically, we propose an algorithm that allows providers to determine a map of possible destinations for cost-evaluation. Furthermore, we introduce an additional algorithm to determine the optimum energy cost migration path, and, consequently, the best Cloud Data Center where virtual machines should be migrated in order to push down energy costs.
Starting Page	782
Ending Page	787
File Size	157049
Page Count	6
File Format	PDF
e-ISBN	9781467371940
DOI	10.1109/ISCC.2015.7405609
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-06
Publisher Place	Cyprus
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Power demand Clouds Virtual machining Europe Energy management Ecosystems Energy Cost Cloud Computing Federation Virtual Machine Migration Energy Efficiency
Content Type	Text
Resource Type	Article

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