• Annual Conference of KIPS
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• 2012.11a
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• pp.1115-1118
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• 2012

DRM(Digital Right Management)은 디지털 콘텐츠의 사용을 제어하고, 불법복제 및 유통을 방지하는 기술 및 서비스이다. 인터넷의 발달로 디지털 콘텐츠의 불법사용, 불법복제, 불법유통 등이 지속적으로 증가하는 상황에서 DRM의 중요성은 점점 더 커지고 있다. 현재의 DRM 시장은 다수의 DRM 시스템이 혼재하고 있는 상황으로 서로 다른 DRM 시스템간의 상호운용과 표준화에 대한 요구가 커지고 있고 이 문제에 관한 많은 연구가 진행되고 있다. 본 논문에서는 클라우드 컴퓨팅 환경 기반의 서로 다른 DRM 시스템 간 상호운용이 가능한 시스템을 제안한다. 제안하는 시스템은 클라우드 컴퓨팅 서비스 모델 중 SaaS(Software as a Service)를 기반으로 설계 하였으며 현재 사용되고 있는 DRM 시스템 쉽게 적용할 수 있는 장점을 가진다.

• Annual Conference of KIPS
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• 2013.05a
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• pp.544-547
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• 2013

클라우드 컴퓨팅의 출현은 외부 스토리지(예를 들면, 클라우드 스토리지)에 저장되는 사용자의 데이터를 크게 증가시켰다. 사용자는 자신의 데이터가 저장되어 있음을 알 수 있지만, 어떻게 관리되는지 알 수 없다. 이러한 상황에서 서버 오류나 해커의 공격 등을 통해 데이터 손실이 발생하게 된다면, 그 피해는 고스란히 사용자에게 돌아가게 된다. 만일 피해를 입은 데이터가 잘 사용되지 않는 데이터라면 서버는 오류 사실을 은닉하고 정상적인 데이터처럼 보이거나, 해당 데이터를 소거해 버릴 수도 있다. 따라서 사용자는 자신의 데이터를 보호하기 위해 외부 스토리지에 저장된 데이터를 검증할 필요가 있다. 본 논문에서는 클라우드 컴퓨팅이 등장하기 이전에 제안된 기법들에서부터 최근 제안된 기법들까지 정리하고 이들에 대한 모델을 세워 분류한다. 또한 각 모델에서 발생할 수 있는 문제점들을 분석하여 보안 요구사항을 정리한다.

• Annual Conference of KIPS
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• 2013.11a
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• pp.155-157
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• 2013

클라우드 컴퓨팅은 가상화를 통하여 자원을 효율적으로 이용하며, 전체 시스템의 성능 개선을 위해 부하가 심한 물리 서버의 가상 머신을 마이그레이션한다. 클라우드 컴퓨팅의 규모가 커짐에 따라 부하 분산을 통한 효율적 자원 관리는 더욱 중요해지고 있다. 본 논문에서는 가상 머신 부하 분산 기술의 동향에 대해서 조사한다.

• Electronics and Telecommunications Trends
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• v.36 no.6
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• pp.67-77
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• 2021

Since Richard Feynman presented the concept of quantum computers, quantum computing have been identified today overcoming the limits of supercomputing in various applications. Quantum hardware has steadily developed into 50 to hundreds of qubits of various quantum hardware technologies based on superconductors, semiconductors, and trapped ions over 40 years. However, it is possible to use a NISQ (Noisy Intermediate Scale Quantum) level quantum device that currently has hardware constraints. In addition, the software environment in which quantum algorithms for problem solving in various applications can be executed is pursuing research with quantum computing software such as programming language, compiler, control, testing and verification. The development of quantum software is essential amid intensifying technological competition for the commercialization of quantum computers. Therefore, this paper introduces the trends of the latest technology, focusing on quantum computing software platforms, and examines important software component technologies.

• The KIPS Transactions:PartA
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• v.19A no.3
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• pp.161-168
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• 2012

The study of Cloud based system is emerging to become the core technology in IT field due to the tremendous growth of Cloud Computing. Researches to deliver applications to Thin-Client based mobile virtual machine and Desktop as a Service(DaaS) using Cloud Computing are conducted actively. In this paper, we propose a Cloud system to run the mobile application in the mobile Thin-Client device and resource allocation mechanism Dynamic Resource Allocation Manager for Mobile Application(DRAMMA). Thus, through performance check, we show DRAMMA has improved the utilization of Cloud system, less migration of virtual machines and decreased the error rate of resource allocation. Also our proposed system delivers service more efficiently than the previous resource allocation algorithm.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.9
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• pp.189-196
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• 2020

Recently, GPU cloud computing technology applying GPU(Graphics Processing Unit) devices to virtual machines is widely used in the cloud environment. In a cloud environment, GPU devices assigned to virtual machines can perform operations faster than CPUs through massively parallel processing, which can provide many benefits when operating high-performance computing services in a variety of fields in a cloud environment. In a cloud environment, a GPU device can help improve the performance of a virtual machine, but the virtual machine scheduler, which is based on the CPU usage time of a virtual machine, does not take into account GPU device usage time, affecting the performance of other virtual machines. In this paper, we test and analyze the performance degradation of other virtual machines due to the virtual machine that performs GPGPU(General-Purpose computing on Graphics Processing Units) task in the direct path based GPU virtualization environment, which is often used when assigning GPUs to virtual machines in cloud environments. Then to solve this problem, we propose a GPGPU task management method for a virtual machine.

• KIPS Transactions on Computer and Communication Systems
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• v.2 no.12
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• pp.553-560
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• 2013

The development of cloud computing technology and smart devices have increasingly been expanding the influence in various fields. Although DRM(Digital Rights Management) is a very important technology for secure content services, interoperability among DRM technologies must be addressed in order to provide the service without the constraints of time and place on various smart devices. In this paper, we study DRM Cloud which provides DRM functions as a service in cloud computing environment, and address interoperability problem by providing different DRM technologies as a cloud service. That is, when a user wants to play contents with the different DRM technologies on a smart device, the usage of the content is controlled by providing the corresponding DRM module and function as SaaS from DRM cloud. To do this, we define the functions and structure of DRM Proxy which performs smooth service call and provision between DRM cloud user and DRM cloud, and finally we describe the experimental implementation result.

• KIPS Transactions on Computer and Communication Systems
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• v.4 no.9
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• pp.315-320
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• 2015

In cloud computing, server virtualization supports one or more virtual machines loaded on multiple operating systems on a single physical host server. Migration of a VM is moving the VM running on a source host to another physical machine called target host. A VM live migration is essential to support task performance optimization, energy efficiency and energy saving, fault tolerance and load balancing. In this paper, we propose open source based adaptive VM live migration technique. For this, we design VM monitoring module to decide VM live migration and open source based full-virtualization hypervisor.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.440-443
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• 2011

While Cloud Computing catch attention, system configuration using Server Virtualization as a core technology gains popularity. Thus analyzing existing systems and utilizing resources using server virtualization techniques are spotlighted. This paper presents a solid foundation for utilizing the system idle resources and constructing the cloud computing infrastructure by analyzing means and types of the system load and further analyzing the relationship between CPU resources and loads based on Linux system.

• Journal of the Korea Society for Simulation
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• v.23 no.4
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• pp.189-195
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• 2014

In this paper, we conducted a study on place-free and time-free cloud computing (CC) adoption decision-making model. Panel survey data which is collected from 65 people and CART (classification and regression tree) which is one of data mining approaches are used to construct decision-making model. In this modeling, there are 2 steps: In the first step, significant questions (variables) are selected. After that, the CART decision-making model is constructed using the selected variables. In the variable selection stage, the 25 questions are reduced to 5 ones. The benefits of question reduction are quick response from respondent and reducing model-construction time.