TY - GEN
T1 - A game-theoretic approach to coalition formation in green cloud federations
AU - Guazzone, Marco
AU - Anglano, Cosimo
AU - Sereno, Matteo
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Cloud Federation
KW - Coalition Formation
KW - Cooperative Game Theory
UR - http://www.scopus.com/inward/record.url?scp=84904566535&partnerID=8YFLogxK
U2 - 10.1109/CCGrid.2014.37
DO - 10.1109/CCGrid.2014.37
M3 - Conference contribution
AN - SCOPUS:84904566535
SN - 9781479927838
T3 - Proceedings - 14th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2014
SP - 618
EP - 625
BT - Proceedings - 14th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2014
PB - IEEE Computer Society
T2 - 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2014
Y2 - 26 May 2014 through 29 May 2014
ER -