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Authors: Gabor Kecskemeti 1 ; Andras Markus 2 and Attila Kertesz 2

Affiliations: 1 Liverpool John Moores University, United Kingdom ; 2 University of Szeged, Hungary

Keyword(s): Cloud Computing, Datacentre Consolidation, Simulation.

Abstract: Cloud Computing has become mature enough to enable the virtualized management of multiple datacentres. Datacentre consolidation is an important method for the efficient operation of such distributed infrastructures. Several approaches have been developed to improve the efficiency e.g. in terms of power consumption, but only a few attention has been turned to combining pricing methods with consolidation techniques. In this paper we discuss how we introduced cost models to the DISSECT-CF simulator to foster the development of cost efficient datacentre consolidation solutions. We also exemplify the usage of this extended simulator by performing cost-aware datacentre consolidation. We apply real world traces to simulate cloud load, and propose 7 strategies to address the problem.

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Paper citation in several formats:
Kecskemeti, G.; Markus, A. and Kertesz, A. (2018). Cost-efficient Datacentre Consolidation for Cloud Federations. In Proceedings of the 8th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-295-0; ISSN 2184-5042, SciTePress, pages 213-220. DOI: 10.5220/0006775302130220

@conference{closer18,
author={Gabor Kecskemeti. and Andras Markus. and Attila Kertesz.},
title={Cost-efficient Datacentre Consolidation for Cloud Federations},
booktitle={Proceedings of the 8th International Conference on Cloud Computing and Services Science - CLOSER},
year={2018},
pages={213-220},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006775302130220},
isbn={978-989-758-295-0},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Cloud Computing and Services Science - CLOSER
TI - Cost-efficient Datacentre Consolidation for Cloud Federations
SN - 978-989-758-295-0
IS - 2184-5042
AU - Kecskemeti, G.
AU - Markus, A.
AU - Kertesz, A.
PY - 2018
SP - 213
EP - 220
DO - 10.5220/0006775302130220
PB - SciTePress

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