Using a generic spatial access method for caching and efficient retrieval of vario-scale data in a server-client architecture

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    Abstract

    This paper presents a methodology for using a generic data-driven spatial access method as a communication mechanism for vario-scale data in a server-client setting. As a complete data set is often quite large, it is managed at the server side and supporting different scale levels is important. We show that a generic R-tree like grouping method, commonly used for efficiently organizing and retrieving data from a database, can be used in a networked architecture and that it allows off-loading processing tasks from a server to a client. This helps in making web services more scalable. The method supports efficient retrieval of partial data by a client and makes it possible to reuse data by means of caching. This can make communication more efficient.
    Original languageEnglish
    Title of host publicationProceedings of the 20th AGILE Conference on Geographic Information Science
    Subtitle of host publicationSocietal Geo-innovation
    EditorsArnold Bregt, Tapani Sarjakoski, Ron van Lammeren, Frans Rip
    PublisherWageningen University
    Number of pages6
    ISBN (Electronic)978-90-816960-7-4
    Publication statusPublished - 2017
    EventAGILE 2017: 20th AGILE International Conference on Geographic Information Science - Wageningen, Netherlands
    Duration: 9 May 201712 May 2017
    https://agile-online.org/index.php/conference/conference-2017

    Conference

    ConferenceAGILE 2017: 20th AGILE International Conference on Geographic Information Science
    CountryNetherlands
    CityWageningen
    Period9/05/1712/05/17
    Internet address

    Keywords

    • vario-scale data
    • vario-scale maps
    • spatial access methods
    • server-client architecture
    • caching

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