• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.1735-1738
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• 2010

가상화는 하나의 물리적 시스템을 논리적으로 분할해 자원 공유의 효율성을 극대화하는 기술이다. 하지만 가상화에 필수적인 시스템의 추상화는 자원 관리의 복잡도를 증가시켜 하드웨어 장치의 로드 발생을 야기한다는 문제점이 있다. 가상 머신 마이그레이션(migration)은 로드를 발생시키는 가상 머신을 자원적 여유가 있는 시스템으로 이동시키는 기술이며, 기존의 기법들은 메모리상의 실행 컨텍스트의 이동 비용을 최소화하기 위한 방법에 초점을 맞추고 있다. 하지만 네트워크를 통한 스토리지의 공유가 어려운 WAN(wide area network) 환경에서는 실행 컨텍스트뿐만 아니라 가상 머신 이미지 자체의 이동이 불가피하며, 이는 많은 비용을 발생시킨다. 따라서 본 연구에서는 가상 머신간 파일 블록 공유를 통한 WAN 환경에서의 효율적인 가상 머신 마이그레이션 기법을 제안하고, 실험을 통해 제안 기법에 대한 분석 및 평가를 실시하였다.

• The Transactions of the Korea Information Processing Society
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• v.7 no.12
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• pp.3794-3803
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• 2000

In a Video-on-Demand system, admission control that is used to serve multimedia data efficiently has to be perfonned by an accurate grasp of the condition of surplus resources. Most of all. we need to adaptable admission control mechanism because the disk has irregular response time caused by external elements of disk, and also has high deviation of amount demanded. In previous admission control schemes, they determined whether a new user is granted or not through a theoretical value. Although they based on the measurement, they left much to be desired in dealing with the service state. Measurement ~based statistical admission control scheme, as we su~~ested in this research, perfonns 2 processes of off-line process and on-line process in real service environment. Through this processes, we can grasp the accurate resource state of system and adaptive!y detennine the admission according to circumstances. Therefore, it can guarantee both maximum resource utilization and QoS(Quality of Service). On performance evaluations, we show that the video server can utilize maximum resource utilization with QoS guarantee through precision of perfonnance by measurement and adaptable admission control according to the requested bandwidth.

• Journal of KIISE:Computer Systems and Theory
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• v.33 no.11
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• pp.810-819
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• 2006

This paper proposes an Adaptive Double Buffer Model. As a new FIFO buffer model, this technique minimizes packet losses from network congestion by logically managing buffers. It allocates the spare spaces of non-congested buffers to congested buffers by allowing receive/send buffers to share two queues, and hence it minimizes packet losses. In contrast to the buffer model utilizing a free list, this buffer model can prevent the bubble phenomenon caused by a memory leak and thereby apply to a network buffer in a restricted environment. Also, compared with the model using an way, this model brings maximum 100 percent improvement in accepting packets and compared with the model utilizing a free list, this model has the similar efficiency Results of the performance test on Adaptive Double Buffer Model, shows that this proposed model decreases packet losses and enhances memory efficiency.

• Journal of the Institute of Convergence Signal Processing
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• v.6 no.1
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• pp.39-44
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• 2005

Scheduling for digital system synthesis is assigning each operation in a control/data flow graph(CDFG) to a specific control step without violating precedence relation. It is one of the most important tasks due to its direct influence on the performance of the hardware synthesized. In this paper, we propose a resource-constrained scheduling algorithm. Our algorithm first analyzes the given CDFG to determine the number of functional units of each type, then assigns each operation to a control step while satisfying the constraints. It also tries to improve the solution iteratively by adjusting the number of functional units using the results collected from the previous scheduling. Experiments were performed to test the performance of the proposed algorithm, and results are presented

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.34 no.2
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• pp.67-74
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• 2018

Resource leveling minimizes resource fluctuations by deferring the earliest start times (ESTs) of non-critical activities within their corresponding total float. The intentional float-consumption for resource leveling purpose reduces the schedule delay contingency. This paper presents a method called Genetic Algorithm based Resource Leveling (GARL) that minimizes resource fluctuations and float-consumption impact over project duration. It identifies activities that are less sensitive to float-consumption and performs resource leveling using those activities. The study is of value to project scheduler because GARL identifies the set of activities to be deferred and the number of shift day(s) of each and every activities in the set within its total float expeditiously. It contributes to establish a baseline schedule which implements an optimal resource leveling plan. A case study is presented to verify the validity and usability of the method. It was confirmed that GARL satisfies the project duration constraint by considering resource fluctuations and float-consumption over project duration.

• Journal of The Geomorphological Association of Korea
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• v.20 no.3
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• pp.65-77
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• 2013

This study investigated and analyzed the topographic landscape resources of Mureung Valley in Donghae-si from the viewpoint of geotourism in order to suggest the tourism contents and tour course. A total of 29 topographic landscapes were observed; these are broadly divided into 4 features including weathering landform, mountainous landform, fluvial landform, and structural landform. Major topographies are fluvial landform (13) and weathering landform (12). At least 19 topographies (14 sites, 19 topographic landscapes) are currently used as tourism resources, with 10 topographies having potential to be developed as new tourism resources. The 10 topographic landscapes are as follows: (1) Jamryong Bawi (Hidden Dragon Rock), (2) Janggipan Bawi (Korean Chessboard Rock), (3) Nurungji Bawi (Parched Rice Rock), (4) Damjang Bawi (Fence Rock), (5) Gyedan Bawi (Stairs Rock), (6) Heundeul Bawi (Rocking Rock), (7) Jeopsi Bawi (Dish Rock), (8) Dol Umul (Stone Well), (9) Jogak Bawi (Carved Rock), and (10) Dubu Bawi (Topu Rock). The topographic tour course can be divided into 3 routes considering accessibility and time. Route 1 is a basic one that anyone can easily use; Route 2 and 3 can be used by visitors who have more time to spare or who are more active.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.199-210
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• 2020

The objective of this study was to identify generational difference of work value and job engagement. Total 256 nurses participated in Korea. Analysis of variance(ANOVA) was conducted to investigate the generational differences of work value and job engagement and factors of work values influencing to job engagement was identified by multiple regression analysis. Nurses considered financial benefits, job security, and work environment as the most important thing and autonomy, possibilities of promotion, and contribution to society were considered less important in their work life. Y and Z-generation nurses respected more to interests at work and time availability for private life than X-generation in work life.

• Journal of Technology Innovation
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• v.26 no.4
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• pp.98-121
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• 2018

This article analyzes the survival of Korean software firms from 1995 to 2015 by Cox regression model and product-limit method. The results show that survival rates are different for each sector: IT service, package software, game software and internet service. In addition, firm growth and investment in research and development positively affect software firm's survival, while slack resources negatively affect the software firm's survival. The implication of this study is that characteristics of the software industry and technologies should be taken into consideration in survival strategy of software firms and government policy. Previous research on survival analysis has been mainly conducted in the manufacturing industry or at the special circumstance such as the foreign exchange crisis of Korea in the late 1990s. The contribution of this study is that expanding the survival analysis to software firms in Korea which are becoming more important recently.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.05a
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• pp.556-559
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• 2004

본 논문은 제약이론의 프로세스 운영 개선기법에 기반하여 워크플로우에서 제약 자원을 찾고, 워크플로우의 운영 성과가 개선될 수 있도록 효율적인 업무 흐름 관리 방법을 개발하는 것을 목적으로 한다. 과거의 워크플로우 기록을 분석하여 제약업무담당자(CCP)를 결정하고, 제약 업무 담당자의 업무처리속도에 발생된 프로세스 인스턴스의 워크플로우 투입속도를 동기화하여 CCP의 업무부하가 일정수준으로 유지되도록 하며 비 제약 업무담당자의 여유능력이 향상되도록 한다. 이를 통해 CCP의 업무부하를 가능한 업무담당자들에 분산시킴으로써 프로세스 인스턴스의 처리가 원활히 이루어지도록 한다. 본 논문에서 개발한 알고리즘을 워크플로우 관리 시스템에 적용함으로써 전체 워크플로우가 효율적으로 운영되는 효과를 기대할 수 있다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.12B
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• pp.1988-1995
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• 2000

ATM 망에서 제공되고 있는 음성, 영상, 데이터와 같은 다양한 서비스는 사용자의 만족도를 수용할 수 있어야 한다는 것을 전제조건으로 한다. 이러한 기본적인 요구사항을 충족시키기 위해서는 노드대 노드간의 자원관리와 오류제어 및 다양한 트래픽의 특성을 고려한 전송 순서의 결정에 해당하는 스케줄링 방법이 요구되어 진다. 본 논문에서는 이러한 기술 요소 중에서 트래픽 설정 단계에서 제공되는 트래픽 특성 및 QoS(Quality of Service) 정보를 바탕으로 교환 노드에서 발생되는 전달 지연 시간에 적응적인 스케줄링 방식을 제시하였다. 이 방식은 멀티미디어 서비스와 같이 혼합된 트래픽 특성을 갖는 구조에서 트래픽 구성비율에 따라 적용되는 지연 여유치를 매우 융통성 있고 효과적으로 조절할 수 있다. 성능분석을 위하여 기존의 스케줄링 방식인 WFQ (Weighted Fair Queueing) 방식과 제안한 스케줄링 방식의 수학적인 분석을 수행하였으며 이 두 방식의 결과식을 비교하여 교환노드에서의 평균 지연과 셀 처리에 관한 성능을 분석하였다. 그리고 수학적 분석에 대한 검증으로는 Simulation tool ARENA 3.0을 이용하여 제안한 알고리즘의 Worst case와 기존의 알고리즘의 성능을 비교하였다.