Reference : Energy Efficiency Metaheuristic Mechanism for Cloud Broker \\ in Multi-Cloud Computing
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/10166
Energy Efficiency Metaheuristic Mechanism for Cloud Broker \\ in Multi-Cloud Computing
English
Nguyen, Anh Quan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Tantar, Alexandru-Adrian mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Bouvry, Pascal mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Talbi, El-Ghazali mailto []
13-Jul-2013
6
EVOLVE 2013 - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computing
Yes
No
International
EVOLVE 2013
11-13 July 2013
Leiden University
Leiden
Netherland
[en] cloud broker ; multi-objective optimization ; multi-cloud computing ; metaheuristics
[en] In this paper, we would like to present our view on an energy efficiency mechanism based on a metaheuristic algorithm for a cloud broker in multi-cloud computing. The following study is only a design concept and therefore this paper does not intend offering some established results. The metaheuristic based algorithm we envisage using needs to deal with the multiple objectives defined by the cloud users and the Cloud Service Providers (CSPs). The goal of the mechanism mainly focuses on energy efficiency while searching for a balance point that satisfies the objectives of both the cloud users and the CSPs. In our proposed concept, the designed mechanism needs to include a component to collect the resources that underutilized by the cloud users (in public or private cloud environment) and offers them back to the cloud broker for re-rent.
Interdisciplinary Centre for Security, Reliability and Trust
FNR ; CNRS
I2R-DIR-PFN-12GRCL > FNR/INTER/CNRS/11/03 : GREEN@CLOUD > > BOUVRY Pascal
Researchers ; Students
http://hdl.handle.net/10993/10166

File(s) associated to this reference

Fulltext file(s):

FileCommentaryVersionSizeAccess
Limited access
abstract_final.pdfAuthor preprint287.26 kBRequest a copy

Bookmark and Share SFX Query

All documents in ORBilu are protected by a user license.