• DocumentCode
    475617
  • Title

    Spatial Data Grid Framework Based on Super-Peer Network Model

  • Author

    Meng, Lingkui ; Xie, Wenjun ; Huang, Changqing

  • Author_Institution
    Sch. of Remote Sensing & Inf. Eng., Wuhan Univ., Wuhan
  • Volume
    1
  • fYear
    2008
  • fDate
    3-4 Aug. 2008
  • Firstpage
    225
  • Lastpage
    229
  • Abstract
    Spatial data is generally managed by multiple organizations, and there are significant heterogeneities in these spatial data management nodes within each organization. In order to share spatial data over multiple organizations efficiently, we propose a comprehensive framework of federated spatial data grid based on super-peer network model. Concerning the high overlap of the bounding boxes in the directory of indexing information about spatial data, a spatial indexing method which extends X-tree for the framework is proposed. We introduce a dynamic maintenance mechanism to achieve excellent load balance, and an algorithm for spatial range queries is presented. Both the results of theoretic analysis and experiments show that the management of spatial data in the framework is efficient.
  • Keywords
    database indexing; distributed databases; grid computing; peer-to-peer computing; resource allocation; spatial data structures; tree data structures; visual databases; X-tree; dynamic maintenance mechanism; load balance; spatial data grid framework; spatial data management; spatial indexing method; spatial range queries; super-peer network model; Communication system control; Computer network management; Computer networks; Engineering management; Environmental management; Grid computing; Indexing; Information science; Peer to peer computing; Resource management; heterogeneity; scalability; spatial data grid; super-peer model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3290-5
  • Type

    conf

  • DOI
    10.1109/CCCM.2008.252
  • Filename
    4609504