@inproceedings{05eb457d648245ddaba4e84f9cf136fd,
title = "Consumer-and-provider-oriented efficient IaaS resource allocation",
abstract = "This paper presents a method of cloud resource allocation designed to take into account both consumers and providers' interests. This comes in contrast to today's provider centered models that subject users to more restrictive terms and conditions. Both parties' interests are computed in the form of integer constraints. Costs and availability are embedded as key objectives and performance criteria in the model. We propose a hybrid resolution method based on an evolutionary algorithm augmented with a tabu search and compare performance with other resource allocation algorithms. The comparison results reveal the efficiency of the proposed hybrid evolutionary algorithms.",
keywords = "Cloud Computing, Cloud Computing Modeling, Efficient resource allocation, Genetic Algorithm, Optimization, Tabu Search",
author = "Thibaud Ecarot and Djamal Zeghlache and Cedric Brandily",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 31st IEEE International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017 ; Conference date: 29-05-2017 Through 02-06-2017",
year = "2017",
month = jun,
day = "30",
doi = "10.1109/IPDPSW.2017.97",
language = "English",
series = "Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "77--85",
booktitle = "Proceedings - 2017 IEEE 31st International Parallel and Distributed Processing Symposium Workshops, IPDPSW 2017",
}