A Hybrid Cloud Computing Approach for Managing Spatial Data: A Case Study for Water Resources in Greece

被引:1
|
作者
Kallergis, Dimitrios [1 ]
Papacharalampou, Chrysoula [2 ]
Chimos, Konstantinos [1 ]
Chavakis, Thomas [1 ]
Douligeris, Christos [1 ]
机构
[1] Univ Piraeus, Dept Informat, Piraeus, Greece
[2] Univ Bath, Dept Mech Engn, Bath BA2 7AY, Avon, England
来源
2014 FIFTH INTERNATIONAL CONFERENCE ON COMPUTING FOR GEOSPATIAL RESEARCH AND APPLICATION (COM.GEO) | 2014年
关键词
cloud computing; spatial data; web-mapping services; SaaS; Earth Science;
D O I
10.1109/COM.Geo.2014.18
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Global challenges and technology advancements have driven researchers and professionals to demand new tools for solving complex problems in terms of massive data exploitation. This paper describes a system that offers 3D visualisation of data with spatial interest regarding the management of water resources. The Software as a Service (SaaS) delivery is instrumented by a hybrid cloud implementation. A public cloud is used for a web service that accommodates the database system and the network traffic load provisioning, whilst a private cloud serves the rest of the web service, along with a custom metering service regarding the hybrid cloud's overall performance. In the context of this work, the geospatial data are exploited similarly to those which will be offered by governmental authorities in Greece conforming to European and National Laws and provide Web Mapping Services through open-access data repositories. Since these data storage solutions are still in an on-going progress, this paper works with private data gathered from professionals in the field of Earth Sciences. The resulted service provides seamless access to the geospatial data which are presented in a 3D web platform.
引用
收藏
页码:33 / 37
页数:5
相关论文
共 50 条
  • [21] DATA FUSION IN CLOUD COMPUTING:BIG DATA APPROACH
    Szuster, Piotr
    Molina, Jose M.
    Garcia-Herrero, Jesus
    Kolodziej, Joanna
    PROCEEDINGS - 31ST EUROPEAN CONFERENCE ON MODELLING AND SIMULATION ECMS 2017, 2017, : 569 - 575
  • [22] An Efficient Approach for VM and Database Segmentation of Cloud Resources Over Cloud Computing
    Sunil Manoli
    Prabhuraj Metipatil
    P. Raghavendra Nayaka
    SN Computer Science, 5 (8)
  • [23] Monthly spatial distributed water resources assessment: a case study
    Wang, Yuhui
    Lei, Xiaohui
    Liao, Weihong
    Jiang, Yunzhong
    Huang, Xiaomin
    Liu, Jianshe
    Song, Xinshan
    Wang, Hao
    COMPUTERS & GEOSCIENCES, 2012, 45 : 319 - 330
  • [24] Ecosystem accounting for water resources at the catchment scale, a case study for the Peloponnisos, Greece
    Bekri, Eleni S.
    Kokkoris, Ioannis P.
    Skuras, Dimitrios
    Hein, Lars
    Dimopoulos, Panayotis
    ECOSYSTEM SERVICES, 2024, 65
  • [25] Big Data, Computing, and Water Resources Hazards
    Uddameri, Venkatesh
    JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 2018, 54 (04): : 765 - 766
  • [26] Retrieving and Indexing Spatial Data in the Cloud Computing Environment
    Wang, Yonggang
    Wang, Sheng
    Zhou, Daliang
    CLOUD COMPUTING, PROCEEDINGS, 2009, 5931 : 322 - +
  • [27] Cloud Audit: A Data Integrity Verification Approach for Cloud Computing
    Saxena, Rajat
    Dey, Somnath
    TWELFTH INTERNATIONAL CONFERENCE ON COMMUNICATION NETWORKS, ICCN 2016 / TWELFTH INTERNATIONAL CONFERENCE ON DATA MINING AND WAREHOUSING, ICDMW 2016 / TWELFTH INTERNATIONAL CONFERENCE ON IMAGE AND SIGNAL PROCESSING, ICISP 2016, 2016, 89 : 142 - 151
  • [28] A pricing approach for optimal use of computing resources in cloud federation
    Bijan Pourghorbani Dinachali
    Sam Jabbehdari
    Hamid Haj Seyyed Javadi
    The Journal of Supercomputing, 2023, 79 : 3055 - 3094
  • [29] Tasks and Resources Allocation Approach with Priority Constraints in Cloud Computing
    Almojel, Nouf Ahmad
    Ahmed, Alaa E. S.
    INTERNATIONAL JOURNAL OF GRID AND HIGH PERFORMANCE COMPUTING, 2022, 14 (01)
  • [30] A pricing approach for optimal use of computing resources in cloud federation
    Dinachali, Bijan Pourghorbani
    Jabbehdari, Sam
    Javadi, Hamid Haj Seyyed
    JOURNAL OF SUPERCOMPUTING, 2023, 79 (03): : 3055 - 3094