A new model for VMMP dealing with execution time uncertainty in a multi-clouds system

Abstract : The Virtual Machine Mapping Problem (VMMP) arise by the development of cloud computing. Focusing on a novel approach for cloud broker model in multi-clouds environment, we present a new model to deal with VMMP that takes into account the uncertainty of the VM execution time, hence allowing to obtain robust assignment solutions. The uncertainty of the VM execution time is modeled by (i) relying on a truncated normal distribution for constructing mapping instances, and (ii) by using the expected value of the generating truncated normal distribution. The proposed methods, for the optimization for the VMMP, are conducted on the Grid5000 in order to bring a detailed results comparison between the obtained results from the experimental study with different benchmarks.
Type de document :
Communication dans un congrès
CloudNet‘2015 4th IEEE Int. Conf. on Cloud Networking, Oct 2015, Naigara Falls, Canada. pp.165-170, 2015, 〈10.1109/CloudNet.2015.7335300〉
Liste complète des métadonnées

https://hal.inria.fr/hal-01249482
Contributeur : Talbi El-Ghazali <>
Soumis le : vendredi 1 janvier 2016 - 19:36:47
Dernière modification le : jeudi 12 avril 2018 - 11:14:03

Identifiants

Citation

Anh Quan Nguyen, Pascal Bouvry, El-Ghazali Talbi. A new model for VMMP dealing with execution time uncertainty in a multi-clouds system. CloudNet‘2015 4th IEEE Int. Conf. on Cloud Networking, Oct 2015, Naigara Falls, Canada. pp.165-170, 2015, 〈10.1109/CloudNet.2015.7335300〉. 〈hal-01249482〉

Partager

Métriques

Consultations de la notice

171