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Research and Design of Cloud Storage Platform for Field Observation Data in Alpine Area

  • Jiuyuan HuoEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11204)

Abstract

With the rapid increase of field observation data volume in alpine regions, there are many problems exist in the data storage for geoscience researchers, such as lack of sufficient hardware storage devices, high maintenance costs, and incomplete storage environment. Nowadays, Cloud Storage technology which based on the open source Cloud Computing platform can effectively solve these problems. Therefore, this paper constructs and designs the field observation data Cloud storage platform in the alpine region based on the Apache Hadoop Cloud platform to realize the functions of creating, uploading and browsing of field observation data files in the Cloud Storage, so as to meet the needs of researchers to store observation data, share information and backup and so on. The system also can enable the efficient management of server resources, and provide large-scale data processing capabilities.

Keywords

Cloud storage Field observation data Hadoop HDFS 

Notes

Acknowledgement

This work is supported by the CERNET Innovation Project (No. NGII20160111) and the Gansu Science and Technology Support Program (Grant number: 1606RJZA004).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of Electronic and Information EngineeringLanzhou Jiaotong UniversityLanzhouPeople’s Republic of China
  2. 2.CERNET Co., Ltd.BeijingPeople’s Republic of China

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