• Journal of Korea Multimedia Society
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• v.13 no.1
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• pp.1-9
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• 2010

Today's growth of the mobile communication infrastructure made mobile computing systems like cellular phones came next to or surpassed the desktop PCs in popularity due to their mobility. Although the performance of mobile devices is now being improved continuously, it is a current common sense that compute intensive large-scale applications can hardly run on any kind of mobile handset devices. To clear up this problem, we decided to exploit the mobile cluster computing system and surveyed the existing ones first. We found out, however, that most of them are not the actual implementations but a mobile cluster infrastructure proposal or idea suggestions for reliable mobile clustering. To make cell phones participated in cluster computing nodes, in this paper, we propose a redesigned JPVM cluster computing engine and a set of WIPI mobile runtime functions interfacing with it. And we also show the performance evaluation results of real parallel applications running on our Mobile-JPVM cluster computing systems. We find out by the performance evaluation that large-scale applications can sufficiently run on mobile devices such as cellular phones when using our mobile cluster computing engine.

• Journal of Digital Contents Society
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• v.10 no.2
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• pp.249-258
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• 2009

As wireless internet markets become larger than before, many mobile applications are also being developed actively. In this circumstances mobile devices such as cell phones, PDAs are playing an important role to satisfy the user's need of ubiquitous computing. Due to the hardware limitations, however, the mobile devices like PDA can not run large-scale softwares by itself. The main goal of this paper is to make large-scale applications runnable on PDA. To accomplish this, we used the PDA-JPVM cluster computing engine which has been already developed by us. We found out by running the applications and the performance evaluation that large-scale Java softwares can easily run on the hardware-limited PDA. And the performance evaluation results are also presented.

• Annual Conference of KIPS
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• 2015.10a
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• pp.230-233
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• 2015

본 논문에서는 저전력 클러스터 구축을 위해 확장가능성, 저전력 노드 구성, 자율동작 기능 구현, 플러그인을 통한 기능 확장 등 4가지 핵심 추진사항을 도출하고, 모바일 단말기에 사용되는 저전력 프로세서를 이용하여 컴퓨팅 클러스터 프로토타입을 구축했다. 슈퍼컴퓨터 Top500의 성능 측정으로 활용되는 HPL 벤치마크을 이용하여 프로토타입의 성능을 측정 및 분석하고 모바일 프로세서를 이용한 클러스터의 대규모 확장 시 개선되어야 할 사항을 파악했다.

• Annual Conference of KIPS
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• 2016.10a
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• pp.149-150
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• 2016

모바일 컴퓨팅의 발전은 모바일 디바이스에게 클라우드 컴퓨팅 기술 도입을 가져왔다. 모바일 클라우드 컴퓨팅은 워크스테이션 및 클러스터로 구축된 클라우드 컴퓨팅과 다르게 모바일 디바이스만을 가지고 자원 서비스를 제공한다. 모바일 클라우드는 모바일 디바이스의 저조한 하드웨어 성능과 산발적인 네트워크 연결을 가진다. 모바일 클라우드의 인프라 구성을 위해서는 모바일 디바이스의 연결 및 자원 통합이 매우 중요시 된다. 본 논문에서는 모바일 클라우드 컴퓨팅의 인프라 구축을 위해 연결된 모바일 디바이스의 자원 통합 및 지속적인 자원 서비스 관리를 제공하는 M-RIM(Mobile device - Resource Integration Management)을 제안한다. M-RIM은 모바일 디바이스의 성능 정보 메타데이터 기반 분산 자원을 통합하고 사용자에게 자원 서비스를 제공한다.

• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.3
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• pp.60-71
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• 2017

Smart devices such as smart phones, smart TVs, and smart pads have become essential devices in recent years. As the popularity and demand grows, the performance of smart devices is also getting better and users are dealing with a lot of things such as education and business using smart devices instead of desktop. However, smart devices that still have poor performance compared to desktop, even with improved performance, have difficulty running high performance applications due to limited resources. In this paper, we propose a load balancing algorithm applying the characteristics of smart devices to overcome the resource limitations of devices. in order to verify the algorithm, we implemented the algorithm after adding the distributed processing system service in Android platform. After constructing the cluster on the smart device, various experiments were conducted. Through the analysis of the test results, it is confirmed that the proposed algorithm efficiently improves the overall distributed processing performance by effectively aggregating different amounts of computing resources in heterogeneous smart devices.

• Journal of KIISE:Computing Practices and Letters
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• v.12 no.5
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• pp.286-299
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• 2006

Due to the continuing technical progress in the capabilities of modeling, simulation, and sensor devices, huge volume data with very high resolution are common. In scientific visualization, various interactive real-time techniques on high performance parallel computers to effectively render such large scale volume data sets have been proposed. In this paper, we present a mobile volume visualization system that consists of mobile clients, gateways, and parallel rendering servers. The mobile clients allow to explore the regions of interests adaptively in higher resolution level as well as specify rendering / viewing parameters interactively which are sent to parallel rendering server. The gateways play a role in managing requests / responses between mobile clients and parallel rendering servers for stable services. The parallel rendering servers visualize the specified sub-volume with rendering contexts from clients and then transfer the high quality final images back. This proposed system lets multi-users with PDA simultaneously share commonly interesting parts of huge volume, rendering contexts, and final images through CSCW(Computer Supported Cooperative Work) mode.

• The Journal of the Korea Contents Association
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• v.10 no.12
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• pp.77-83
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• 2010

Recently, IT-based environment is changing rapidly as changing in web services platform, evolution of cloud computing environments and expanding the base of a smart market. Accordingly, monitoring development of environment is changing quickly. So a customizable SaaS-based monitoring tool is required to provide monitoring services. It has to support a variety of environmental monitoring and a resource managers with requested information, and by an enhanced monitoring framework in clouding environment of management system. In this paper, the 3D viewer for the management of sensor node management system was designed and built. Through the 3D viewer by enhancing the accessibility and visibility, the sensor network will allow resources to be used efficiently.

• Journal of Internet Computing and Services
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• v.17 no.6
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• pp.103-111
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• 2016

Offloading tasks from mobile devices to available cloud servers were improved since the introduction of the cloudlet. With the implementation of dynamic offloading algorithms, mobile devices can choose the appropriate server for the set of tasks. However, current task distribution approaches do not consider the number of VM, which can be a critical factor in the decision making. This paper proposes a dynamic task distribution on clustered data centers. A proportional VM migration approach is also proposed, where it migrates virtual machines to the cloud servers proportionally according to their allocated CPU, in order to prevent overloading of resources in servers. Moreover, we included the resource capacity of each data center in terms of the maximum CPU in order to improve the migration approach in cloud servers. Simulation results show that the proposed mechanism for task distribution greatly improves the overall performance of the system.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.989-992
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• 2005

본 연구에서는 JXTA 기반의 P2P 컴퓨팅 기술을 J2ME 와 MIDP의 기술과 접목하여 새로운 JXTA 기반의 모바일 P2P 솔류션 구현을 가능하도록 한다. MIDP에서 제공하는 API는 무선 JXTA피어를 창조하는데 기초 역할을 수행하지만 그럼에도 불구하고, MIDP의 제한된 라이브러리, XML 파서 부족등의 한계가 있다. 그래서 이러한 자원의 한계를 극복하기 위해 중간에 릴레이 서버를 두어 제한된 환경에서 서비스 제공을 담당한다. JXTA의 가장 중요한 설계 선택중의 하나는 피어에 의해 사용되는 운영체제나 개발언어를 가정하지 않는 것이다. JXTA프로토콜 규격은 명시적으로 네트워크 피어가 소규모 임베디드 장치에서 대규모 슈퍼컴퓨터 클러스터에 이르는 모든 종류의 장치가 될 수 있다. 이러한 기술에 J2ME의 모바일 기능을 추가한 JXTA를 사용하여 기존의 제한된 메시지 전달방법을 탈피하여 JXTA 기반의 P2P 시스템을 만드는데 있다.

• Journal of Digital Contents Society
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• v.10 no.4
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• pp.485-492
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• 2009

In these days mobile handsets have come to be used at almost every user. The mobility of mobile devices and the performance improvement of the mobile networks have made this trend possible. As a great variety of mobile applications are published, the necessity of running large-scale mobile applications becomes greater than before. To accomplish this, the existing researchers have developed mobile cluster computing libraries like Mobile-JPVM. In this paper, we implement a compute-intensive Animated GIF generating application and its cell phone viewer software using Mobile-JPVM library. We find out by the real execution of our softwares on the KTF handsets that they can sufficiently run on cellular phones. Our Animated GIF generator and its viewer are going to be commercially used for the mobile fashion advertisement systems.