Design of Space Remote Sensing Data Storage Platform Based on Distributed File System

  • Li Di
    College of Electronic Information and Automation, Tianjin University of Science and Technology Advanced Structural Integrity International Joint Research Centre, Tianjin University of Science and Technology
  • Peng Yizhun
    Advanced Structural Integrity International Joint Research Centre, Tianjin University of Science and Technology1 College of Electronic Information and Automation, Tianjin University of Science and Technology 2Advanced Structural Integrity International Joint Research Centre, Tianjin University of Science and Technology
  • Bai Ruixiang
    Advanced Structural Integrity International Joint Research Centre, Tianjin University of Science and Technology1 College of Electronic Information and Automation, Tianjin University of Science and Technology
  • Chen Zhenjiang
    Advanced Structural Integrity International Joint Research Centre, Tianjin University of Science and Technology1 College of Electronic Information and Automation, Tianjin University of Science and Technology 2Advanced Structural Integrity International Joint Research Centre, Tianjin University of Science and Technology
  • Zhao Lianchen
    Advanced Structural Integrity International Joint Research Centre, Tianjin University of Science and Technology1 College of Electronic Information and Automation, Tianjin University of Science and Technology 2Advanced Structural Integrity International Joint Research Centre, Tianjin University of Science and Technology

説明

Due to the large space remote sensing data, a space remote sensing data has seven or eight hundred megabytes or more, and a large amount of space remote sensing data is generated every day for hundreds of GB, TB or even more, so a large amount of space is needed for storage. Space remote sensing data. In order to solve such problems, this paper prepares for the analysis of the subsequent space remote sensing data and combines the distributed file system to store the space remote sensing data. The installation of the CentOS 6.5 virtual machine through VMware to build an HDFS cluster, through a Namenode, three Datanode nodes to achieve access to space remote sensing data. Through the upload of the server, the space remote sensing data can be uploaded to the client, and the space remote sensing data can be downloaded through the client.

収録刊行物

詳細情報 詳細情報について

  • CRID
    1390565134829892352
  • DOI
    10.5954/icarob.2020.os11-7
  • ISSN
    21887829
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • Crossref
  • 抄録ライセンスフラグ
    使用不可

問題の指摘

ページトップへ