The geospatial data cloud: An implementation of applying cloud computing in geosciences

被引:0
|
作者
Wang, Xuezhi [1 ]
Zhao, Jianghua [1 ]
Zhou, Yuanchun [1 ]
Li, Jianhui [1 ]
机构
[1] Scientific Data Center, Computer Network Information Center, Chinese Academy of Sciences, Beijing
来源
| 1600年 / Committee on Data for Science and Technology卷 / 13期
关键词
Cloud computing; Geosciences; Geospatial data cloud; Remote sensing data;
D O I
10.2481/dsj.14-042
中图分类号
学科分类号
摘要
The rapid growth in the volume of remote sensing data and its increasing computational requirements bring huge challenges for researchers as traditional systems cannot adequately satisfy the huge demand for service. Cloud computing has the advantage of high scalability and reliability, which can provide firm technical support. This paper proposes a highly scalable geospatial cloud platform named the Geospatial Data Cloud, which is constructed based on cloud computing. The architecture of the platform is first introduced, and then two subsystems, the cloud-based data management platform and the cloud-based data processing platform, are described. © 2014, Committee on Data for Science and Technology. All rights reserved.
引用
收藏
页码:254 / 264
页数:10
相关论文
共 50 条
  • [1] A geospatial hybrid cloud platform based on multi-sourced computing and model resources for geosciences
    Huang, Qunying
    Li, Jing
    Li, Zhenlong
    INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2018, 11 (12) : 1184 - 1204
  • [2] Utilizing Cloud Computing to address big geospatial data challenges
    Yang, Chaowei
    Yu, Manzhu
    Hu, Fei
    Jiang, Yongyao
    Li, Yun
    COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2017, 61 : 120 - 128
  • [3] Parallel Processing Strategies for Geospatial Data in a Cloud Computing Infrastructure
    Kempeneers, Pieter
    Kliment, Tomas
    Marletta, Luca
    Soille, Pierre
    REMOTE SENSING, 2022, 14 (02)
  • [4] Data Security Issues in the Process of Applying Cloud Computing
    Wang, Kai
    Yang, Xia
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, KNOWLEDGE ENGINEERING AND INFORMATION ENGINEERING (SEKEIE 2014), 2014, 114 : 135 - 138
  • [5] Implementation of a Cloud Computing Framework for Cloud Forensics
    Patrascu, Alecsandru
    Patriciu, Victor Valeriu
    2014 18TH INTERNATIONAL CONFERENCE SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC), 2014, : 440 - 445
  • [6] A Scalable Cloud Computing Infrastructure for Geospatial Data Analytics for Change Detection
    Jacobsen, Rune Hylsberg
    Jeppesen, Jacob Hoxbroe
    Laursen, Kim Fibiger
    Skovsgaard, John
    Jensen, Henrik Nymann
    Toftegaard, Thomas Skjodeberg
    2017 EUROMICRO CONFERENCE ON DIGITAL SYSTEM DESIGN (DSD), 2017, : 403 - 410
  • [7] Implementation of Enhanced Data Integrity Algorithm in Cloud Computing
    Mothlabeng, Moloko P.
    Mathonsi, Topside E.
    du Plessis, Daniel P.
    Muchenje, Tonderai
    JOURNAL OF ADVANCES IN INFORMATION TECHNOLOGY, 2022, 13 (06) : 614 - 623
  • [8] The Device Cloud - Applying Cloud Computing Concepts to the Internet of Things
    Renner, Thomas
    Kliem, Andreas
    Kao, Odej
    2014 IEEE 11TH INTL CONF ON UBIQUITOUS INTELLIGENCE AND COMPUTING AND 2014 IEEE 11TH INTL CONF ON AUTONOMIC AND TRUSTED COMPUTING AND 2014 IEEE 14TH INTL CONF ON SCALABLE COMPUTING AND COMMUNICATIONS AND ITS ASSOCIATED WORKSHOPS, 2014, : 396 - 401
  • [9] Cloud Computing: Applying Issues in Small
    Khalid, Ammar
    2010 INTERNATIONAL CONFERENCE ON SIGNAL ACQUISITION AND PROCESSING: ICSAP 2010, PROCEEDINGS, 2010, : 278 - 281
  • [10] Applying a Threat Model to Cloud Computing
    Urias, Vincent E.
    Van Leeuwen, Brian
    Stout, William M. S.
    Lin, Han
    2018 52ND ANNUAL IEEE INTERNATIONAL CARNAHAN CONFERENCE ON SECURITY TECHNOLOGY (ICCST), 2018, : 6 - 10