• Title/Summary/Keyword: normal cloud model

Search Result 22, Processing Time 0.015 seconds

A Database Design for Remote Maintenance of Navigation and Communication Equipments in a Vessel (선박 항해통신장비 원격유지보수를 위한 데이터베이스 설계)

  • Kim, Ju-young;Ok, Kyeong-suk;Kim, Ju-won;Cho, Ik-soon
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.21 no.11
    • /
    • pp.2052-2060
    • /
    • 2017
  • The SOLAS ship should carry at least 83 different types of equipment based on the SFI group codes and each of which consists of several to dozens of components. During ship operation, it is necessary to ensure the normal operation of such equipment, and remote maintenance is highly demanded for immediate repair in the event of a equipment fault. This study proposes to find suitable classification system and to derive database structure for remote maintenance of navigation and communication equipment. As a result of this study, the classification system of equipment should be layered into equipment type, model, and component, and main table in the database consists of FMEA, service history, case data through Q&A, Preventive Maintenance. A database was constructed for 140 navigation and communication equipment models and 750 components. In order to evaluate the practical effects, service engineer evaluated the usefulness using the cloud app.

Design and Implementation of a Hadoop-based Efficient Security Log Analysis System (하둡 기반의 효율적인 보안로그 분석시스템 설계 및 구현)

  • Ahn, Kwang-Min;Lee, Jong-Yoon;Yang, Dong-Min;Lee, Bong-Hwan
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.19 no.8
    • /
    • pp.1797-1804
    • /
    • 2015
  • Integrated log management system can help to predict the risk of security and contributes to improve the security level of the organization, and leads to prepare an appropriate security policy. In this paper, we have designed and implemented a Hadoop-based log analysis system by using distributed database model which can store large amount of data and reduce analysis time by automating log collecting procedure. In the proposed system, we use the HBase in order to store a large amount of data efficiently in the scale-out fashion and propose an easy data storing scheme for analysing data using a Hadoop-based normal expression, which results in improving data processing speed compared to the existing system.