• 대한공업교육학회지
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• v.30 no.2
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• pp.104-114
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• 2005

The purposes of this study were to examin instructor and students's responses and to explore the pros and cons and the possibility of the DVC(desktop video conferencing) instruction at a C university in Daejon. 6 males and 5 females took the course. 10 lived in Daejeon and 1, who accessed from other region, lived other province, Pusan. Students were surveyed and interviewed, instructor was interviewed and the online observation of the instruction was undertaken. Students' responses showed that the DVC instruction was very effective to generate student's learning motivation and interest and to deliver the learning contents. Instructor's variety roles different from conventional one were very important and instruction must be run to activate students' interactions.

• Journal of Information Processing Systems
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• v.7 no.4
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• pp.707-716
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• 2011

It is important that desktop grids should be able to aggressively deal with the dynamic properties that arise from the volatility and heterogeneity of resources. Therefore, it is required that task scheduling be able to positively consider the execution behavior that is characterized by an individual resource. In this paper, we implement a log analysis system with REST web services, which can analyze the execution behavior by utilizing the actual log data of desktop grid systems. To verify the log analysis system, we conducted simulations and showed that the resource group-based task scheduling, based on the analysis of the execution behavior, offers a faster turnaround time than the existing one even if few resources are used.

• Proceedings of the Korea Information Processing Society Conference
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• 2015.10a
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• pp.634-636
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• 2015

As the expansion of enterprise scale and the increase of staff, the amount of terminal is increasing as well. It is very difficult to the system manager of traditional data protection scheme to manage and maintenance for the large number of terminals. This problem can be solved by desktop virtualization, which use traditional security problems still exist and new security problems occur at the same time. Using desktop virtualization, it needs a method of automatic security protection. In this paper, the desktop virtualization security requirements are discussed.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2012.10a
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• pp.285-286
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• 2012

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.8
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• pp.1666-1672
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• 2009

Since wide display devices have recently become popular for communication activity, it is desirable for effective communication to share those displays in an efficient way. VNC(Virtual Network Computing) is a desktop sharing software, which transmits the desktop screen and the related events to other computers on different places. So, through VNC, it is possible for more than two users to share the same desktop screen at the same time. But it is very cumbersome to share wide display devices through the functions currently supported by VNC. In this paper, we describe the development of CoDisplay which is a VNC-based conference tool for efficient sharing of a wide display device. Conference participants connect to the wide display device through the associated network address, and transmit their desktop screen to the device. The control functions for the participants support the division of the display screen for multiple desktop screens and the switchover of desktop screens.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.11a
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• pp.5-6
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• 2008

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2009.06a
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• pp.39-40
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• 2009

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.7
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• pp.429-439
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• 2006

A desktop grid, which is a computing grid composed of idle computing resources in a large network of desktop computers, is a promising platform for compute-intensive distributed computing applications. However, due to reliability and unpredictability of computing resources, effective scheduling of parallel computing applications on such a platform is a difficult problem. This paper proposes a new scheduling method aimed at reducing the total execution time of a parallel application on a desktop grid. The proposed method is based on utilizing the histories of execution behavior of individual computing nodes in the scheduling algorithm. In order to test out the feasibility of this idea, execution trace data were collected from a set of 40 desktop workstations over a period of seven weeks. Then, based on this data, the execution of several representative parallel applications were simulated using trace-driven simulation. The simulation results showed that the proposed method improves the execution time of the target applications significantly when compared to previous desktop grid scheduling methods. In addition, there were fewer instances of application suspension and failure.

• KIISE Transactions on Computing Practices
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• v.22 no.8
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• pp.369-374
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• 2016

The growing demand of virtual computing and storage resources in the cloud computing environment has led to deduplication of storage system for effective reduction and utilization of storage space. In particular, large reduction in the storage space is made possible by preventing data with identical content as the virtual desktop images from being stored on the virtual desktop infrastructure. However, in order to provide reliable support of virtual desktop services, the storage system must address a variety of workloads by virtual desktop, such as performance overhead due to deduplication, periodic data I/O storms and frequent random I/O operations. In this paper, we designed and implemented a clustered file system to support virtual desktop and storage services in cloud computing environment. The proposed clustered file system provides low storage consumption by means of inline deduplication on virtual desktop images. In addition, it reduces performance overhead by deduplication process in the data server and not the virtual host on which virtual desktops are running.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.1
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• pp.45-50
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• 2019

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.