Detailed Information

Cited 0 time in webofscience Cited 46 time in scopus
Metadata Downloads

Performance analysis based resource allocation for green cloud computing

Authors
Lee, Hwa MinJeong, Young-SikJang, Haeng Jin
Issue Date
Sep-2014
Publisher
Kluwer Academic Publishers
Keywords
Resource allocation; Virtualization; Performance analysis; Virtual machine; Cloud computing
Citation
Journal of Supercomputing, v.69, no.3, pp 1013 - 1026
Pages
14
Journal Title
Journal of Supercomputing
Volume
69
Number
3
Start Page
1013
End Page
1026
URI
https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/11894
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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Engineering > Department of Computer Software Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE