Cost minimization of service deployment in a multi-cloud environment

François Legillon 1, 2 Nouredine Melab 1 Didier Renard 2 El-Ghazali Talbi 1
1 DOLPHIN - Parallel Cooperative Multi-criteria Optimization
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : Public cloud computing allows one to rent virtual servers on a hourly basis. This raises the problematic of being able to decide which server offers to take, which providers to use, and how to use them to acquire sufficient service capacity, while maintaining a cost effective platform. This article proposes a new realistic model to tackle the problem, placing services into IAAS virtual machines from multiple providers. A flexible protocol is defined to generate real-life instances, and applied on two industrial cases with four real cloud providers. An evolutionary approach, with new specific operators, is introduced and compared to a MIP formulation. Experiments conducted on two data-sets show that the evolutionary approach is viable to tackle real-size instances in reasonable amount of time.
Type de document :
Communication dans un congrès
CEC 2013 - IEEE Conference on Evolutionary computation, Jun 2013, Cancun, Mexico. IEEE, Evolutionary Computation (CEC), 2013 IEEE Congress on, pp.2580-2587, 2013, 〈10.1109/CEC.2013.6557880〉
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https://hal.inria.fr/hal-00837565
Contributeur : Talbi El-Ghazali <>
Soumis le : dimanche 23 juin 2013 - 00:01:43
Dernière modification le : mercredi 24 janvier 2018 - 11:30:20

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François Legillon, Nouredine Melab, Didier Renard, El-Ghazali Talbi. Cost minimization of service deployment in a multi-cloud environment. CEC 2013 - IEEE Conference on Evolutionary computation, Jun 2013, Cancun, Mexico. IEEE, Evolutionary Computation (CEC), 2013 IEEE Congress on, pp.2580-2587, 2013, 〈10.1109/CEC.2013.6557880〉. 〈hal-00837565〉

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