• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.10
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• pp.4948-4967
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• 2017

On mobile devices, image sequences are widely used for multimedia applications such as computer vision, video enhancement, and augmented reality. However, the real-time processing of mobile devices is still a challenge because of constraints and demands for higher resolution images. Recently, heterogeneous computing methods that utilize both a central processing unit (CPU) and a graphics processing unit (GPU) have been researched to accelerate the image sequence processing. This paper deals with various optimizing techniques such as parallel processing by the CPU and GPU, distributed processing on the CPU, frame buffer object, and double buffering for parallel and/or distributed tasks. Using the optimizing techniques both individually and combined, several heterogeneous computing structures were implemented and their effectiveness were analyzed. The experimental results show that the heterogeneous computing facilitates executions up to 3.5 times faster than CPU-only processing.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.1B
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• pp.9-18
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• 2006

Advances in wireless network are enabling the development of ubiquitous multimedia services. These multimedia services need efficient platforms to comply with the requirements of mobile computing. We introduce an adaptive service platform based on mobile agent and grid systems while specifying the challenges of ubiquitous multimedia services and focusing on frequent disconnections and scarce resources. We applied our platform to framework RtoA (Ready-to-Attend) which supports mobile users to access compute-intensive multimedia service, specifically, mobile education and video conferencing. RtoA includes hand-off, speaker and listener service which enable people to attend a conference or a class with satisfying quality of multimedia service. ns-2 based simulation verifies that our scheme is an efficient way to reduce energy consumption of mobile devices and to improve the response time of mobile applications.

• Journal of Korea Multimedia Society
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• v.25 no.8
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• pp.1136-1140
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• 2022

This paper is a method for efficient traffic prediction in mobile edge computing, where many studies have recently been conducted. For distributed processing in mobile edge computing, tasks offloading from each mobile edge must be processed within the limited computing power of the edge. As a result, in the mobile nodes, it is necessary to efficiently select the surrounding edge server in consideration of performance dynamically. This paper aims to suggest the efficient clustering method by selecting edges in a cloud environment and predicting mobile traffic. Then, our dynamic clustering method is to reduce offloading overload to the edge server when offloading required by mobile terminals affects the performance of the edge server compared with the existing offloading schemes.

• 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 Korea Society of Digital Industry and Information Management
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• v.8 no.1
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• pp.99-105
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• 2012

Given the numbers of smartphones, tablets and other mobile devices shipped every day, more and more users are relying on the cloud as the main driver for satisfying their computing needs, whether it is data storage, applications or infrastructure. Mobile cloud computing is simply cloud computing in which at least some of the devices involved are mobile. Each node is owned by a different user and is likely to be mobile. Using mobile hardware for cloud computing has advantages over using traditional hardware. These advantage include computational access to multimedia and sensor data without the need for large network transfer, more efficient access to data stored on other mobile devices and distributed ownership and maintenance of hardware. It is important to predict job execution time in mobile cloud computing because there are many mobile nodes with different capabilities. This paper analyzes the job execution time for mobile cloud computing in terms of network environment and heterogeneous mobile nodes using a mathematical model.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.171-173
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• 2017

최근 모바일 컴퓨팅은 어플리케이션 실행, 이미지 처리, 동영상 인코딩, 게임 등의 모바일 컴퓨팅 작업 처리를 위한 높은 성능의 컴퓨팅 능력을 요구한다. 모바일 컴퓨팅의 성능을 향상하기 위해 모바일 클라우드 컴퓨팅(Mobile Cloud Computing)을 도입하였다. 기존 모바일 클라우드 컴퓨팅에서는 모바일 컴퓨팅 작업의 처리를 위해 고-성능 컴퓨팅(High-Performance Computing)방법을 적용한 오프로드가 연구되고 있다. 고-성능 컴퓨팅의 목적은 단일작업의 처리속도 향상이므로 다중 작업처리를 위한 모바일 클라우드 컴퓨팅에는 적합하지 않다. 또한 고-성능 컴퓨팅은 모바일 클라우드 사용자에게 동등한 컴퓨팅 성능을 제공하지 못하는 문제점을 내재한다. 본 논문에서는 모바일 클라우드 컴퓨팅 기반 다중 작업 처리를 위한 Multitasking Mechanism for High-Throughput Computing(M2-HTC)을 제안한다. M2-HTC는 모바일 클라우드에서 처리중인 작업과 사용 가능한 컴퓨팅 리소스를 활용하여 다중 모바일 컴퓨팅 작업의 처리시간을 최소화하는 기법이다.

• The KIPS Transactions:PartC
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• v.8C no.5
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• pp.667-676
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• 2001

We have solved a problem occurring in case that RSVP is applied to existing wired network in order to guarantee a QoS of multimedia traffic in mobile computing environment in this paper. If MN moves to another area when Mobile IP is applied to RSVP, HA makes new tunnel to FA because SESSION ID of MN is changed. However, we suggest MIP-DUDN method, which applied RSVP. Although MN moves to another area in this method, it does not make new tunnel because it eliminates the problem of existing Triangle Routing Problem. We design the new protocol of RMIP-DUDN and compare with the method of existing Mobile IP applied to RSVP.

• Journal of Korea Multimedia Society
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• v.1 no.1
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• pp.120-129
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• 1998

The mobile computing is a new network environment that support s wireless network connection seamless while the portable computer is moving. This environment involves the problem of re-establishing of new network connection. The mobile computing should provide multicasting service, because multicasting is widely-used application service which delivers messages to the members of the groups. In this paper, we proposed 3-tiered mobile multicasting protocol that transfers multicast packets efficiently and reliablely. Also, we analyzed the performance of 3-tiered mobile multicasting protocol comparing with other mechanism. Our protocol is superior to other mechanism in the aspects of the handoff costs and packet delivery costs.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.2
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• pp.232-236
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• 2010

Nowadays, mobile users have a huge amount of multimedia contents and can use these contents anytime, anywhere by advance in computer and network techniques. However, users spend too much time for searching and managing these contents in web and local file system. Expecially, small and uncomfortable user interfaces of mobile devices make it difficult to search and manage multimedia contents. Therefore, an intelligent multimedia contents management technique is needed to use these contents more efficiently. In this paper, we propose a Personalized Mobile Multimedia Contents Provider (PMMCP) System which provides personalized multimedia contents based on users' psychological patterns and situations.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.204-206
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• 2016

모바일 디바이스와 어플리케이션의 발전으로 Mobile Cloud Computing(MCC)의 필요성이 대두되고 있다. MCC는 다수의 모바일 디바이스를 하나의 클라우드 환경으로 통합해 배터리 수명, 스토리지, 프로세싱 등의 성능 향상을 가져온다. 그러나 아직 MCC의 오프로드처리 방식이 명확히 정의되어 있지 않은 상황이다. 본 논문은 MCC 환경에서 모바일 디바이스의 작업을 클라우드에 이관해 처리하는 오프로드를 서버의 역할에 따라 다섯 가지로 나누어 정의해 제안한다. 마지막으로 더 효율적인 오프로드 방법을 제안하여 미래 연구 방향에 대해 논의한다.