DocumentCode :
1624460
Title :
Efficient resource allocation in cloud data centers through genetic algorithm
Author :
Arianyan, E. ; Maleki, D. ; Yari, Alireza ; Arianyan, I.
Author_Institution :
Educ. & Res. Inst. for ICT, Tehran, Iran
fYear :
2012
Firstpage :
566
Lastpage :
570
Abstract :
Efficient resource scheduling and managing available resources is a great concern in modern data centers. Cloud computing which is based on virtualization automates the process of distributing available resources among virtual machines. This paper proposes an enhanced version of resource allocation algorithm based on genetic algorithm. In other words, the decision accuracy in the process of virtual machine allocation to proper physical machines is enhanced. Usually, CPU and RAM of physical machines are considered in decision algorithms. However, this paper shows that to have a balanced cloud, it is necessary to consider more parameters in resource allocation algorithm. Moreover, the importance of considering weights for the parameters in decision algorithm is presented. It is shown that some parameters are more important than the others and should have higher impact in fitness function of genetic algorithm.
Keywords :
cloud computing; computer centres; decision making; genetic algorithms; random-access storage; resource allocation; scheduling; virtual machines; CPU; RAM; automated virtualization process; balanced cloud; cloud computing; cloud data centers; decision accuracy; decision algorithm; decision algorithms; fitness function; genetic algorithm-based resource allocation algorithm; physical machines; resource distribution; resource management; resource scheduling; virtual machine allocation; Cloud computing; Decision making; Equations; Genetic algorithms; Quality of service; Random access memory; Resource management; Cloud computing; Genetic algorithm; Physical machine; Resource allocation; Virtual machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Telecommunications (IST), 2012 Sixth International Symposium on
Conference_Location :
Tehran
Print_ISBN :
978-1-4673-2072-6
Type :
conf
DOI :
10.1109/ISTEL.2012.6483053
Filename :
6483053
Link To Document :
بازگشت