Efficiency Sustainability Resource Visual Simulator for ClusteredDesktop Virtualization Based on Cloud Infrastructure

Collection with item attached
2014
Item details URL
http://open-repository.kisti.re.kr/cube/handle/open_repository/478052.do
DOI
10.3390/su6118079
Title
Efficiency Sustainability Resource Visual Simulator for ClusteredDesktop Virtualization Based on Cloud Infrastructure
Description
This research was supported by the MSIP (Ministry of Science, ICT andFuture Planning), Korea, under the ITRC (Information Technology ResearchCenter)) support program (NIPA-2014-H0301-14-1021) supervised by theNIPA (National IT Industry Promotion Agency) and BK21 Plus project ofthe National Research Foundation of Korea Grant.
abstract
Following IT innovations, manual operations have been automated, improving the overall quality of life. This has been possible because an organic topology has been formed among many diverse smart devices grafted onto real life. To provide services to these smart devices, enterprises or users use the cloud. Cloud services are divided into infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS). SaaS is operated on PaaS, and PaaS is operated on IaaS. Since IaaS is the foundation of all services, algorithms for the efficient operation of virtualized resources are required. Among these algorithms, desktop resource virtualization is used for high resource availability when existing desktop PCs are unavailable. For this high resource availability, clustering for hierarchical structures is important. In addition, since many clustering algorithms show different percentages of the main resources depending on the desktop PC distribution rates and environments, selecting appropriate algorithms is very important. If diverse attempts are made to find algorithms suitable for the operating environments' desktop resource virtualization, huge costs are incurred for the related power, time and labor. Therefore, in the present paper, a desktop resource virtualization clustering simulator (DRV-CS), a clustering simulator for selecting clusters of desktop virtualization clusters to be maintained sustainably, is proposed. The DRV-CS provides simulations, so that clustering algorithms can be selected and elements can be properly applied in different desktop PC environments through the DRV-CS.
provenance
Made available in Cube on 2018-09-28T12:22:35Z (GMT). No. of bitstreams: 0
language
English
author
Park, Jong Hyuk
Kim, Hyun-Woo
Jeong, Young-Sik
accessioned
2018-09-28T12:22:35Z
available
2018-09-28T12:22:35Z
issued
2014
citation
SUSTAINABILITY(6): 11
issn
2071-1050
uri
http://open-repository.kisti.re.kr/cube/handle/open_repository/478052.do
Funder
교육부
Funding Program
BK21플러스사업(0.5)
Project ID
1345229152
Jurisdiction
Rep.of Korea
Project Name
Research team for training top-level human resources of Interactive Smart Contents
rights
openAccess
subject
desktop resource virtualization
clustering
clustering simulator
cloudcomputing
infrastructure as a service
clustering visualization
type
article


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