• Title/Summary/Keyword: cluster system management

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Defining Business Process Improvement(BPI) Projects with Analysis Results Based on the Cause-and-Effect Chain (인과관계체인 기반의 분석 결과를 활용한 비즈니스 프로세스 개선 과제 정의)

  • Kang, Jun-Gyu;Lim, Seung-Kil
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.38 no.1
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    • pp.101-109
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    • 2015
  • This paper suggests a procedure to define business process improvement (BPI) projects with analysis results based on the cause-and-effect chain. The procedure developed in this paper focuses on eliminating root causes of business problems resulted from abnormal events occurred in business process executions. First, we develop three criteria used to make clusters of the root causes where a cluster of root causes will be eliminated together by a BPI project defined based on the cluster. Second, we develop a method to formulate desired expectations from the BPI project. Also, we suggest a method to calculate the relative importance of the BPI projects that help a BPI organization determine priorities of them. We illustrate the procedure and the methods with some examples for the domestic mail delivery process in the postal service industry.

Implementation of Policy Based MANET Management System based on Active PDP Discovery (Active PDP Discovery에 기반한 정책 기반 MANET 관리 시스템 구현)

  • Huh, Jee-Wan;Song, Wang-Cheol
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.11
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    • pp.3176-3182
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    • 2009
  • The PBNM on MANET is being researched to ensure the reliability and efficiency between mobile nodes. Therefore, it is essential to determine the cluster effectively which will perceive the movements of nodes and distribute the policies. In PBNM mechanism, to determine the node cluster for PDP and manage PEP nodes, Active PDP Discovery Protocol is proposed as a mechanism which is more efficient than preexistent techniques. While k-hop cluster selects the PEP nodes which PDP node manages, Active PDP Discovery actively selects the PDP node among the moving PEP node. This method prevents orphan nodes that are not connected to PDP and reduces continual broadcasting messages. This paper implements Active PDP Discovery which determines cluster in the real networks and analyzes its capability, expanding COPS-PR to detect the movement of nodes and adding MNL to PDP node.

Implementation of SLA Management System for QoS Guarantee in Cloud Computing Environment (클라우드 환경에서 QoS 보장을 위한 SLA 관리시스템 구현)

  • Yoon, Ka-Ram;Lee, Bong-Hwan
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.2
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    • pp.302-308
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    • 2013
  • Internet is becoming more common with increasing cloud services have been spreading rapidly. A SLA is agreements between service providers and customers of service providers is how to ensure quality of service. SLA in cloud computing environments from the perspective of the IT service providers to customer satisfaction increase for service quality, it will need to differentiate between competing carriers QoS guarantees with SLA is a very important factor. However, the study of SLA in the cloud is staying in its infancy. In this paper, SLA indices for cloud services defining and use them SLA Management System for QoS guarantee has been implemented. The proposed system using monitoring-based migration policy an open source-based cloud computing platform which Cluster Nodes load distribution of virtual machines assigned to their availability, response time, throughput analysis of what affects and is compared with existing cloud.

Cluster Analysis of Climate Data for Applying Weather Marketing (날씨 마케팅 적용을 위한 기후 데이터의 군집 분석)

  • Lee, Yang-Koo;Kim, Won-Tae;Jung, Young-Jin;Kim, Kwang-Deuk;Ryu, Keun-Ho
    • Journal of Korea Spatial Information System Society
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    • v.7 no.3 s.15
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    • pp.33-44
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    • 2005
  • Recently, the weather has been influenced by the environmental pollution and the oil price has been risen because of the lack of resources. So, the weather and energy are influencing on not only enterprises or nations, but also individual daily life and economic activities very much. Because of these reasons, there are so many researches about management of solar radiation needed to develope solar energy as alternative energy. And many researchers are also interested in identifying the area according to changing characteristics of climate data. However, the researches have not developed how to apply the cluster analysis, retrieval and analytical results according to the characteristics of the area through data mining. In this paper, we design a data model of the data for storing and managing the climate data tested in twenty cities in the domestic area. And we provide the information according to the characteristics of the area after clustering the domestic climate data, using k-means clustering algorithm. And we suggest the way how to apply the department store and amusement park as an applied weather marketing. The proposed system is useful for constructing the database about the weather marketing and for providing the elements and analysis information.

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Design and Implementation of the Integrated Management System for Mass Health Examination Operations Management (단체 건강검진 운영 관리를 위한 통합관리 시스템의 설계 및 구현)

  • Jeong, Sung-Wook;Kim, Jun-Woo
    • The Journal of Information Systems
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    • v.24 no.2
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    • pp.163-188
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    • 2015
  • Purpose The healthcare services have drawn so much public attention, and many organizations such as schools and companies require the individuals to undergo the periodic health examination. In general, however, the mass health examination services are not managed in systematic way, and both examinees and medical staffs often experience much inconvenience while preparing, undergoing and managing the services. To address such problems, this paper aims to design the Health Examination Management System (HEMS), an integrated management system for mass health examination operations management, and implement its prototype. Design/methodology/approach First of all, HEMS enables the medical staffs to efficiently collect and manage the examination result data by supporting examination service management. Second, the users can efficiently analyze the cause-and-effect relationships among the examination items by using the visualization tool of HEMS based on the cluster heat map. Finally, the HEMS provides the operational supports for evaluating and managing the service performances. Findings The HEMS indicates that the conventional operations management approaches can be incorporated into the mass health examination services, and it is expected that the proposed system enables the examinees and the medical staffs to participate in such services in more efficient way.

Agent-Based Load Balancing Method for Web GIS Services; Web-Based Forest Fire Management System

  • Jo, Yun-Won;Jo, Myung-Hee;Oh, Jeong-Soo
    • Korean Journal of Remote Sensing
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    • v.17 no.4
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    • pp.359-368
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    • 2001
  • The prototype of forest fire management system on Web was studied. In the architecture of this system, one of the most important concerns is to handle load upcoming to Web Server so that it provides Web service without any delay or failure. In order to solve this problem, the agent is designed on dispatcher in a Web server cluster and implemented to distribute load dynamically by considering the information related to load coming to the Web Server such as the number of connection to the Map Server. The proposed forest fire management system has user-friendly interface with the GIS mapping functionality by selecting Map Objects Internet Map Server (MO IMS) as Map Server and is implemented using Java as programming language.

Scalable and Dynamically Reconfigurable Internet Service System Based on Clustered System (확장과 동적재구성 가능한 클러스터기반의 인터넷서비스 시스템)

  • Kim Dong Keun;Park Se Myung
    • Journal of Korea Multimedia Society
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    • v.7 no.10
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    • pp.1400-1411
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    • 2004
  • Recently, explosion of internet user requires fundamental changes on the architecture of Web service system, from single server system to clustered server system, in parallel with the effort for improving the scalability of the single internet server system. But current cluster-based server systems are dedicated to the single application, for example, One-IP server system. One-IP server system has a clustered computing node with the same function and tries to distribute each request based on the If to the clustered node evenly. In this paper, we implemented the more useful application service platform. It works on shared clustered server(back-end server) with an application server(front-end server) for a particular service. An application server provides a particular service at a low load by itself, but as the load increases, it reconfigures itself with one or more available server from the shared cluster and distributes the load on selected server evenly We used PVM for an effective management of the clustered server. We found the implemented application service platform provides more stable and scalable operation characteristics and has remarkable performance improvement on the dynamic load changes.

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Factors Affecting Performance of the Activities Promoting Knowledge Exchanges in Industrial Clusters (산업클러스터 단위 지식경영에서 지식공유촉진활동의 성과영향요인 연구)

  • Cho, Sung-Eui
    • Journal of the Economic Geographical Society of Korea
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    • v.15 no.4
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    • pp.515-533
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    • 2012
  • Industrial cluster is adopted as a key policy for the development of regional and national economies in many developed or under-developing countries. The industrial cluster is basically concerned with knowledge sharing and exchanges among diverse functions such as firms, research institutions, and universities in a regional or innovation-network context. Therefore, activities to promote knowledge sharing and exchanges in an industrial cluster become very important activities to reach to the original purpose of an industrial cluster. In this study, factors affecting performance of those activities to promote knowledge sharing and exchanges in an industrial cluster are defined and the effects are examined through empirical study. For this research, surveys on enterprisers and employees in industrial cluster were conducted and statistical analysis methods such as correlation analysis, multiple regression analysis, and canonical correlation analysis were adopted for analyses.

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A Framework of Policy for Digital Contents Industry under the Convergence Environment (컨버전스 환경에서의 디지털콘텐츠산업 정책 프레임워크)

  • No, Si-Choon;Bang, Kee-Chun
    • Journal of Digital Convergence
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    • v.6 no.1
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    • pp.35-41
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    • 2008
  • The digital economic environment of next generation, which digital high-technology industry appears to be the economic center of the high degree of industry structure, is expected to be developed as the existing traditional industry is merged with high tech digital one. The developing system of contents policy for digital industry means the policy and vision, and strategic structure which get the mechanism of contents industry structure to work. The promotion organization of digital contents policy is requested to secure the framework of digital contents industry based on cluster, the infra framework of digital infra culture, the infra framework of industry-academic cooperation, and the overall digital contents based on motive policy for the vitality of the youth. The application of digital contents policy may lead to establish the framework of the growth for the every unit of industry with the cluster oriented system.

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Study on the Competitiveness Evaluation of Urban Cultural Tourism Creative Industry in Pan-Yangtze River Delta

  • Mengmeng, Shao
    • The Journal of Industrial Distribution & Business
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    • v.9 no.12
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    • pp.15-21
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    • 2018
  • Purpose - In order to improve the comprehensive competitiveness of cultural tourism creative industries in the region, different grade cities should adapt to local conditions and differentiated development as the angle. It can promote the optimization of regional tourism industry structure, and make relevant suggestions accordingly. Research design, data, and methodology - Based on the characteristics of cultural tourism creative industry, 24 indicators are selected from four aspects. The comprehensive competitiveness evaluation index system of cultural tourism creative industry is constructed. The essay use factor analysis to quantitatively evaluate 27 cities in the Pan-Yangtze River Delta, and use cluster analysis to classify the competitiveness of cultural tourism creative industries in each city into five types. Results - The results of cluster analysis show that the whole area presents five kinds of step-like features, which are mature leading type, the advantageous development type, comparatively advantageous type, well-grounded type and difference-promotion type. Conclusions - The factor analysis method was used to quantitatively evaluate 27 cities in the Pan-Yangtze River Delta, and cluster analysis was used to classify the cultural tourism creative industry competitiveness of each city into fives type city. Based on the differentiation of cultural tourism creative industry competitiveness and 27 cities in the Pan-Yangtze River Delta, the relevant strategies were proposed.