| Title: | OS11-7 Design of Space Remote Sensing Data Storage Platform Based on Distributed File System |
|---|---|
| Publication: | ICAROB2020 |
| Volume: | 25 |
| Pages: | 560-563 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2020.OS11-7 |
| Author(s): | Di Li, Yizhun Peng, Ruixiang Bai, Zhenjiang Chen, Lianchen Zhao |
| Publication Date: | January 13, 2020 |
| Keywords: | Namenode, Datanode, HDFS, Space remote sensing data, Hadoop |
| Abstract: | 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. |
| PDF File: | https://alife-robotics.co.jp/members2020/icarob/data/html/data/OS/OS11/OS11-7.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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