MULTI-OBJECTIVE CLOUD BROKERING OPTIMIZATION TAKING INTO ACCOUNT UNCERTAINTY AND LOAD PREDICTION

Nguyen, Anh Quan

Reference : MULTI-OBJECTIVE CLOUD BROKERING OPTIMIZATION TAKING INTO ACCOUNT UNCERTAINTY AND LOAD...


	Document type :	Dissertations and theses : Doctoral thesis
	Discipline(s) :	Engineering, computing & technology : Computer science
	Focus Areas :	Computational Sciences
	To cite this reference:	http://hdl.handle.net/10993/29505

Title :	MULTI-OBJECTIVE CLOUD BROKERING OPTIMIZATION TAKING INTO ACCOUNT UNCERTAINTY AND LOAD PREDICTION
Language :	English
Author, co-author :	Nguyen, Anh Quan [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	12-Jan-2017
Institution :	University of Luxembourg, Luxembourg, Luxembourg
Name of the degree :	Docteur en Informatique
Number of pages :	109
Supervisor :	Bouvry, Pascal
	Talbi, El-Ghazali
President of the jury :	Rothkugel, Steffen
Member of the jury :	Danoy, Grégoire
	Guinand, Frédéric
Keywords :	[en] Cloud Computing ; Meta-heuristic ; VMMP ; Uncertainty ; Load prediction ; Cloud Brokering Optimization
Abstract :	[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.
Research centres :	SnT - Interdisciplinary Centre for Security, Reliability and Trust
Funders :	Fonds National de la Recherche - FnR
Name of the research project :	Green@Cloud
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/10993/29505
FnR project :	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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