Reference : MULTI-OBJECTIVE CLOUD BROKERING OPTIMIZATION TAKING INTO ACCOUNT UNCERTAINTY AND LOAD...
Dissertations and theses : Doctoral thesis
Engineering, computing & technology : Computer science
Computational Sciences
http://hdl.handle.net/10993/29505
MULTI-OBJECTIVE CLOUD BROKERING OPTIMIZATION TAKING INTO ACCOUNT UNCERTAINTY AND LOAD PREDICTION
English
Nguyen, Anh Quan mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
12-Jan-2017
University of Luxembourg, ​Luxembourg, ​​Luxembourg
Docteur en Informatique
109
Bouvry, Pascal mailto
Talbi, El-Ghazali mailto
Rothkugel, Steffen mailto
Danoy, Grégoire mailto
Guinand, Frédéric mailto
[en] Cloud Computing ; Meta-heuristic ; VMMP ; Uncertainty ; Load prediction ; Cloud Brokering Optimization
[en] Cloud broker optimization for energy-aware in multi-clouds system is to use a metaheuristic method for this multi-objective optimization problem that focuses on reducing the cost as well as improving the energy efficiency. This broad topic has been motivated by the energy-aware challenge at the level of cloud brokerage service. The cloud broker bases on multi-objectives optimization is characterized by a tightly coupled constraints, a dynamic environment, and changing objectives and priorities. That results in investigating specific aspects of the cloud brokerage service - virtual machine placement problem.
SnT - Interdisciplinary Centre for Security, Reliability and Trust
Fonds National de la Recherche - FnR
Researchers ; Professionals ; Students ; General public ; Others
http://hdl.handle.net/10993/29505
FnR ; FNR4770555 > Pascal Bouvry > Green@Cloud > Multi-Objective Metaheuristics for Energy-Aware Scheduling in Cloud Computing Systems > 01/10/2012 > 30/09/2015 > 2011

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