Distributed Database and Application Architecture for Big Data Solutions

被引：3
|
作者：
Misaki, Makoto [1 ]
Tsuda, Tomio [1 ]
Inoue, Shinji [1 ]
Sato, Shintaro [2 ]
Kayahara, Akihiro [2 ]
Imai, Shin-Ichi [3 ]
机构：
[1] Panasonic Corp, Toyama 9378585, Japan
[2] Panasonic Corp, Osaka 5708511, Japan
[3] Panasonic Corp, Corp Res & Dev, Osaka 5708511, Japan
来源：
IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING | 2017年 / 30卷 / 04期
关键词：
Big data; fault detection and classification (FDC); fab-wide FDC system; application (AP); database (DB); distributed storage DB; relational database (RDB); real-time abnormity detection; IT infrastructure;
D O I：
10.1109/TSM.2017.2750183
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, we report about platform and architecture that real-time analysis of big data are possible, and structured IT infrastructure that they are optimally combined. We developed a distributed architecture which the data conversion and the abnormality determination are multi-blocked. Furthermore, by selecting a distributed storage database (DB), we succeeded in constructing IT infrastructure capable of highspeed processing at a large number of manufacturing sites. In the new IT infrastructure, we achieved resource leveling of the application server and improvement of data processing time. It is expected that data file stagnation and delay of DB registration can be resolved.
引用
收藏
页码：328 / 332
页数：5
相关论文
共 50 条
  • [41] Database-as-a-Service for Big Data: An Overview
    Abourezq, Manar
    Idrissi, Abdellah
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2016, 7 (01) : 157 - 177
  • [42] Querying Big Data from a Database Perspective
    Zhao, Wenfeng
    Liu, Guohua
    Chen, Zhao
    Nyabuga, Douglas
    Yang, Huichun
    Zhang, Heng
    Ni, Mengfei
    2017 4TH INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI), 2017, : 1433 - 1437
  • [43] Edge-cloud solutions for big data analysis and distributed machine learning-2
    Belcastro, Loris
    Carretero, Jesus
    Talia, Domenico
    FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, 2025, 167
  • [44] Integrating big data with KNIME as an alternative without programming code: an application to the PATSTAT patent database
    Taques, Fernando H.
    Chasco, Coro
    Taques, Flavio H.
    JOURNAL OF GEOGRAPHICAL SYSTEMS, 2025, 27 (01) : 31 - 61
  • [45] Application of big data in ophthalmology
    Da Soh, Zhi
    Cheng, Ching-Yu
    TAIWAN JOURNAL OF OPHTHALMOLOGY, 2023, 13 (02) : 123 - 132
  • [46] Application of Meteorological Big Data
    Guo, Xi
    2016 16TH INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES (ISCIT), 2016, : 273 - 279
  • [47] Researching on Big Data Storage Solutions
    Mao, Meihua
    Cheng, Daolei
    Liu, Xinqian
    Mei, Yingtian
    Tu, Jimin
    NEW INDUSTRIALIZATION AND URBANIZATION DEVELOPMENT ANNUAL CONFERENCE: THE INTERNATIONAL FORUM ON NEW INDUSTRIALIZATION DEVELOPMENT IN BIG-DATA ERA, 2015, : 219 - 224
  • [48] Challenges and Solutions of Big Data Sharing
    Zhang, Zhen
    Mu, Huaiqin
    IWCMC 2021: 2021 17TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2021, : 2144 - 2148
  • [49] Big Data Technology and Application
    陈宁
    何婕
    张曼
    科技展望, 2015, 25 (04) : 252 - 252
  • [50] A Layer Based Architecture for Provenance in Big Data
    Agrawal, Rajeev
    Imran, Ashiq
    Seay, Cameron
    Walker, Jessie
    2014 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2014,
12345