• Title/Summary/Keyword: 엔터프라이즈

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Design and Implementation of Movie Reservation System Based EJB 3.0 Enterprise for Standardization (표준 엔터프라이즈 EJB 3.0 기반에서 영화 예매 시스템의 설계 및 구현)

  • Lee, Myeong-Ho;Han, Jung-Su
    • Journal of Digital Convergence
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    • v.10 no.8
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    • pp.219-224
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    • 2012
  • This paper aims to design and realize movie reservation system based EJB 3.0 enterprise for standardization. Non EJB and the EJB architecture to resolve the problem with benefits to support the new architecture is a lightweight container architecture. This architecture, such as the EJB, but not heavy, to provide all of the architecture is possible. The lightweight container architecture is most often used in business EJB 3.0 is well-known architecture. Therefore, this research has the Non EJB and the EJB to solve the advantages and disadvantages developed to support the latest EJB 3.0 architecture based on the design and implementation of a movie reservation system.

A Web based Book Lending Management System using Enterprise JavaBeans (Enterprise JavaBeans를 사용한 웹기반 도서 대출 관리)

  • Seo Bong-kun;Kim Yun-ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.9 no.2
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    • pp.366-373
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    • 2005
  • In this paper, we propose the method of integrating the Book Lending Management System running either on local and web to develop Enterprise Application in distributed environment more easily and quickly using Sun's EJB based on the lava. We integrate the Book Lending Management System which is operated separately using EJB. And, by designing and implementing the Book Lending Management System separately according to its functions, it can reduce the cost of maintenance and repair. At all platforms where the Internet, Book Lending service is possible, because it provide Web based interface with JSP. Then, we can get platform independent implementation using EJB and JSP..

Analysis of Linux System changes by adoption XFS File System (XFS 파일 시스템 채택에 따른 리눅스 시스템 변화 분석)

  • Sung, Kyung
    • Journal of Digital Contents Society
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    • v.19 no.3
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    • pp.497-503
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    • 2018
  • RHEL 7, the leader in the enterprise Linux market, has dramatically increased the maximum support specification, such as file system size, file size, etc., by changing the default file system from EXT to XFS. It's not just an increase in support specifications, it's working on daemons, and it's showing excellent performance on high-performance disks such as high-capacity disks and solid state drives. Changes in the file system mean changes in direct operating techniques, such as changing related commands, changing backup tools, and changing disk quota settings. The changes to the XFS file system are making a lot of changes to the operation of the Linux system, but we believe that the position of the Linux operating system in the server field will become stronger.

On the Performance Degradation Characteristics of High-Speed Enterprise Network (고속 엔터프라이즈 네트워크에서 성능 저하 특성 규명)

  • Ju, Hong-Taek;Hong, Seong-Cheol;Hong, James Won-Ki
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.11B
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    • pp.1225-1233
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    • 2009
  • ISPs and Enterprises are equipping their networks with sufficiently high speed facilities and provide large bandwidths members. However the high speed enterprise network does not have satisfying end-to-end network performance within the network in spite of under utilization. The root cause of this performance degradation is a micro-congestion, which is a short-live event of traffic congestion. A micro-congestion causes packet loss, delay and packet reodering, and finally results in end-to-end network performance degradation. In this paper, we propose a micro-congestion detection method and find out the characteristics of performance degradation by analyzing traffic archives which is collected from a network link when a micro-congestion occurs.

A Study on the Data Mining Preprocessing Tool For Efficient Database Marketing (효율적인 데이터베이스 마케팅을 위한 데이터마이닝 전처리도구에 관한 연구)

  • Lee, Jun-Seok
    • Journal of Digital Convergence
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    • v.12 no.11
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    • pp.257-264
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    • 2014
  • This paper is to construction of the data mining preprocessing tool for efficient database marketing. We compare and evaluate the often used data mining tools based on the access method to local and remote databases, and on the exchange of information resources between different computers. The evaluated preprocessing of data mining tools are Answer Tree, Climentine, Enterprise Miner, Kensington, and Weka. We propose a design principle for an efficient system for data preprocessing for data mining on the distributed networks. This system is based on Java technology including EJB(Enterprise Java Beans) and XML(eXtensible Markup Language).

Enterprise Architecture Framework For the Government Document Distribution Center (정부전자문서유통센터를 위한 EA 프레임웍)

  • 유은숙;정기원
    • The Journal of Society for e-Business Studies
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    • v.8 no.4
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    • pp.223-238
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    • 2003
  • This paper presents GDOCF(Government Document Enterprise Architecture Framework) based on the direction of EA(Enterprise Architecture) framework to build GDOCEA. The construction of EA for GDOC offered various types of information technology Platform which advanced the interoperability between Government Information Systems. In addition, it insured the interoperability between the e-Government Initiatives and helped a consistent management for information resource. As a result, MOGAHA could support a policy decision and capital investment plan for information. Also, all the information needed for the operation and management of GDOC has been being referenced, shared and utilized as EA repository. Eventually Pilot EA would be a corner stone to build EA master plan considering all the information systems in MOGAHA.

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EA Experiences of Korea in Public Sector: Past, Present and Future (공공부문에서 한국의 EA 과거, 현재 그리고 미래)

  • Oh, Seung Woon;Shin, Daul;Shin, Dongik
    • Journal of Information Technology and Architecture
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    • v.10 no.4
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    • pp.411-421
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    • 2013
  • The study focuses on EA experiences of Korea in public sector in terms of three distinguishing periods: preparation, adaptation, and utilization. Analyzing those experiences would lead to understanding of EA performance in Korea, and to derivation of future policy directions. EA efforts of Korea shows results in several areas, especially in prevention of duplicative investments, savings in IT expenses, and optimization of information resource management. The study suggests sustainable strategy for futre EA growth.

A Study on the Change of Dominion in Russian Automotive Industry and Korea Port to Export Cars to the Russia (러시아 자동차 시장과 우리나라 수출항만 판도 변화에 관한 연구)

  • Lee, Eon-Kyung;Kim, Jumi;Jeong, Dong-Hun
    • Journal of Information Technology and Architecture
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    • v.11 no.3
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    • pp.359-369
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    • 2014
  • This paper aims to analyze the change of dominion in Russian automotive market and Korea port to export cars to the Russia. First, we provide the current market structure and growth potentials of Russian automotive industry by using literature reviews and data survey. Next, we analyze the current situation to export cars through the Korean seaports using the BCG (Boston Consulting Group)'s matrix method. The analysis shows that the Russian car market has growth potential. The result of expectation of Russian major car export's port within 3~5 years since the year 2013 shows that the Pohang Port will maintain current market share because it has higher market share and growth potential. On the contrary, the Guangyang Port, Busan Port, and Ulsan Port will lose the market share because of the low growth potential. Also, the Incheon Port will become the cash cow market because it has more than 10 percent market share and higher growth potential. To increase the car export volume of ports to Russian market, this paper proposes that we should provide a differentiated service to Russian port based on the analysis of domestic or foreign car export logistics structure and flow. For further study, EA-based framework should be applied for efficient and effective policies.

Big-Data Traffic Analysis for the Campus Network Resource Efficiency (학내 망 자원 효율화를 위한 빅 데이터 트래픽 분석)

  • An, Hyun-Min;Lee, Su-Kang;Sim, Kyu-Seok;Kim, Ik-Han;Jin, Seo-Hoon;Kim, Myung-Sup
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.3
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    • pp.541-550
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    • 2015
  • The importance of efficient enterprise network management has been emphasized continuously because of the rapid utilization of Internet in a limited resource environment. For the efficient network management, the management policy that reflects the characteristics of a specific network extracted from long-term traffic analysis is essential. However, the long-term traffic data could not be handled in the past and there was only simple analysis with the shot-term traffic data. However, as the big data analytics platforms are developed, the long-term traffic data can be analyzed easily. Recently, enterprise network resource efficiency through the long-term traffic analysis is required. In this paper, we propose the methods of collecting, storing and managing the long-term enterprise traffic data. We define several classification categories, and propose a novel network resource efficiency through the multidirectional statistical analysis of classified long-term traffic. The proposed method adopted to the campus network for the evaluation. The analysis results shows that, for the efficient enterprise network management, the QoS policy must be adopted in different rules that is tuned by time, space, and the purpose.