Title :
Virtual machine placement. A multi-objective approach
Author :
Lopez Pires, Fabio ; Melgarejo, Elias ; Baran, Benjamin
Abstract :
The process of selecting which virtual machines will be placed (i.e. executed) in the physical machines available in a Datacenter is known as virtual machine placement problem. This work proposes for the first time a formulation of the problem, with a multi-objective approach, of the main objective functions studied so far as mono-objective in the state of the art. Also it is proposed a multi-objective memetic algorithm for solving the proposed problem. The validity of the proposed formulation is checked by comparing experimental results of the proposed algorithm with a brute force algorithm. Finally it is experimentally verified the scalability of the used meta-heuristic.
Keywords :
computer centres; genetic algorithms; virtual machines; virtualisation; brute force algorithm; data center; meta-heuristic; multiobjective approach; multiobjective memetic algorithm; objective functions; virtual machine placement problem; virtual machine selection; Algorithm design and analysis; Genetic algorithms; IEEE Xplore; Linear programming; Silicon; Vectors; Virtual machining; Cloud Computing; Datacenter; Energy Efficiency; Multi-Objective Optimization; Resources Allocation; Virtualization;
Conference_Titel :
Computing Conference (CLEI), 2013 XXXIX Latin American
Conference_Location :
Naiguata
Print_ISBN :
978-1-4799-2957-3
DOI :
10.1109/CLEI.2013.6670671