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General Information
    • ISSN: 2010-3697
    • Frequency: Bimonthly
    • DOI: 10.7763/IJMO
    • Editor-in-Chief: Prof. Adrian Olaru
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Engineering & Technology Digital Library, ProQuest, Crossref, Electronic Journals Library, Google Scholar, EI (INSPEC, IET).
    • E-mail ijmo@iacsitp.com
Editor-in-chief
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2011 Vol.1(4): 354-361 ISSN: 2010-3697
DOI: 10.7763/IJMO.2011.V1.60

Intelligent Resource Allocation Method Using an Innovative Algorithm for Virtualized Data Center

M. R. Ahamdi, S. Ebrahimi, and F. Ebrahimi

Abstract—Increasing demand for storage and computation has driven the growth for the environment with tremendous computer resources. To make huge resources available, virtualization technology provide flexible and manageable execution environment that is specialized for variety of applications using shared and manageable resources [1]-[3]. One of the major problems in computing systems and service processing is managing the available resources to support more demands. In this paper we have introduced some advantages of virtualization technology and proposed an intelligent virtual resource allocation method for virtualized data center. Since this problem is NP-hard, the solution has been focused on approximate methods based on genetic algorithm to find an optimum solution in a multi-tier distributed environment. Here, some mathematical analysis and technical evaluation have been presented to certify the advantage of the proposed method. Results of our evaluation compare with other methods appear to perform well in finding an approximate solution with less resource consumption ratio.

Index Terms—Virtualization, data center, resource allocation, genetic algorithm.

M. R. Ahamdi is a member of Information Technology Department in Institute of ICT, Tehran (e-mail: M.ahmadi@itrc.ac.ir).
S. Ebrahimi and F. Ebrahimi is a MSC candidate in Azad University, Research and Science Branch Tehran, (e-mail: s.science.e@gmail.com, h.farzanehebrahimi1982@gmail.com).

[PDF]

Cite: M. R. Ahamdi, S. Ebrahimi, and F. Ebrahimi, "Intelligent Resource Allocation Method Using an Innovative Algorithm for Virtualized Data Center," International Journal of Modeling and Optimization vol. 1, no. 4, pp. 354-361, 2011.

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