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Cited 39 time in webofscience Cited 48 time in scopus
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Performance analysis based resource allocation for green cloud computing

Authors
Lee, Hwa MinJeong, Young-SikJang, Haeng Jin
Issue Date
Sep-2014
Publisher
SPRINGER
Keywords
Resource allocation; Virtualization; Performance analysis; Virtual machine; Cloud computing
Citation
JOURNAL OF SUPERCOMPUTING, v.69, no.3, pp 1013 - 1026
Pages
14
Indexed
SCI
SCIE
SCOPUS
Journal Title
JOURNAL OF SUPERCOMPUTING
Volume
69
Number
3
Start Page
1013
End Page
1026
URI
https://scholarworks.dongguk.edu/handle/sw.dongguk/18279
DOI
10.1007/s11227-013-1020-x
ISSN
0920-8542
1573-0484
Abstract
Cloud computing has become a new computing paradigm that has huge potentials in enterprise and business. Green cloud computing is also becoming increasingly important in a world with limited energy resources and an ever-rising demand for more computational power. To maximize utilization and minimize total cost of the cloud computing infrastructure and running applications, resources need to be managed properly and virtual machines shall allocate proper host nodes to perform the computation. In this paper, we propose performance analysis based resource allocation scheme for the efficient allocation of virtual machines on the cloud infrastructure. We experimented the proposed resource allocation algorithm using CloudSim and its performance is compared with two other existing models.
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