Federations among sets of Cloud Providers (CPs), whereby a set of CPs agree to mutually use their own resources to run the VMs of other CPs, are considered a promising solution to the problem of reducing the energy cost. In this paper, we address the problem of federation formation for a set of CPs, whose solution is necessary to exploit the potential of cloud federations for the reduction of the energy bill. We devise an algorithm, based on cooperative game theory, that can be readily implemented in a distributed fashion, and that allows a set of CPs to cooperatively set up their federations in such a way that their individual profit is increased with respect to the case in which they work in isolation. We show that, by using our algorithm and the proposed CPs' utility function, they are able to self-organize into Nash-stable federations and, by means of iterated executions, to adapt themselves to environmental changes. Numerical results are presented to demonstrate the effectiveness of the proposed algorithm.

A Game-Theoretic Approach to Coalition Formation in Green Cloud Federations

SERENO, Matteo
2014-01-01

Abstract

Federations among sets of Cloud Providers (CPs), whereby a set of CPs agree to mutually use their own resources to run the VMs of other CPs, are considered a promising solution to the problem of reducing the energy cost. In this paper, we address the problem of federation formation for a set of CPs, whose solution is necessary to exploit the potential of cloud federations for the reduction of the energy bill. We devise an algorithm, based on cooperative game theory, that can be readily implemented in a distributed fashion, and that allows a set of CPs to cooperatively set up their federations in such a way that their individual profit is increased with respect to the case in which they work in isolation. We show that, by using our algorithm and the proposed CPs' utility function, they are able to self-organize into Nash-stable federations and, by means of iterated executions, to adapt themselves to environmental changes. Numerical results are presented to demonstrate the effectiveness of the proposed algorithm.
2014
ExtremeGreen 2014: Extreme Green & Energy Efficiency in Large Scale Distributed Systems
Chicago, IL, USA
May 26-29, 2014
14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) 2014
IEEE Computer Society Press
618
625
978-1-4799-2784-5
http://ieeexplore.ieee.org/xpl/abstractAuthors.jsp?arnumber=6846512
Cloud Federation; Cooperative Game Theory; Coalition Formation Games
Marco, Guazzone; Cosimo, Anglano; Matteo, Sereno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/154249
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