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http://dx.doi.org/10.3745/KTSDE.2019.8.1.45

Resource Clustering Simulator for Desktop Virtualization Based on Intra Cloud  

Kim, Hyun-Woo (동국대학교 멀티미디어공학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.8, no.1, 2019 , pp. 45-50 More about this Journal
Abstract
With the gradual advancement of IT, passive work processes are automated and the overall quality of life has greatly improved. This is made possible by the formation of an organic topology between a wide variety of real-life smart devices. To serve these diverse smart devices, businesses or users are using the cloud. The services in the cloud are divided into Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). SaaS runs on PaaS, and PaaS runs on IaaS. Since IaaS is the basis of all services, an algorithm is required to operate virtualization resources efficiently. Among them, desktop resource virtualization is used for resource high availability of unused state time of existing desktop PC. Clustering of hierarchical structures is important for high availability of these resources. In addition, it is very important to select a suitable algorithm because many clustering algorithms are mainly used depending on the distribution ratio and environment of the desktop PC. If various attempts are made to find an algorithm suitable for desktop resource virtualization in an operating environment, a great deal of power, time, and manpower will be incurred. Therefore, this paper proposes a resource clustering simulator for cluster selection of desktop virtualization. This provides a clustering simulation to properly select clustering algorithms and apply elements in different environments of desktop PCs.
Keywords
Intra Cloud; Infrastructure as a Service; Resource Clustering Simulator;
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