DocumentCode :
644424
Title :
A New Approach to Multi-objective Virtual Machine Placement in Virtualized Data Center
Author :
Sinong Wang ; Huaxi Gu ; Gang Wu
Author_Institution :
State Key Lab. of ISN, Xidian Univ., Xi´an, China
fYear :
2013
fDate :
17-19 July 2013
Firstpage :
331
Lastpage :
335
Abstract :
In this paper, a virtual machine placement model to maximize resource utilization, balance multi-dimensional resources use and minimize communication traffic simultaneously within the data center is proposed. The multi-objective problem is simplified by employing average valued inequality and positional constraints. The improved genetic algorithm with local heuristic method and elitism strategy is developed to solve the problem. The simulation results show that performance gains in all aspects can be achieved by the proposed model and algorithm compared to the existing algorithms.
Keywords :
computer centres; genetic algorithms; virtual machines; virtualisation; communication traffic minimization; elitism strategy; improved genetic algorithm; inequality constraints; local heuristic method; multidimensional resource use; multiobjective problem; multiobjective virtual machine placement; performance gains; positional constraints; resource utilization; virtualized data center; Bandwidth; Cloud computing; Conferences; Genetic algorithms; Linear programming; Resource management; Virtual machining; genetic algorithm; local heuristic; virtual machine placement; virtual networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Architecture and Storage (NAS), 2013 IEEE Eighth International Conference on
Conference_Location :
Xi´an
Type :
conf
DOI :
10.1109/NAS.2013.54
Filename :
6665388
Link To Document :
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