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

Conference Paper (2017)
Author(s)

A Rovers

M. Meijers (TU Delft - OLD Department of GIS Technology)

PJM van Oosterom (TU Delft - OLD Department of GIS Technology)

Research Group
OLD Department of GIS Technology
Copyright
© 2017 A Rovers, B.M. Meijers, P.J.M. van Oosterom
More Info
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Publication Year
2017
Language
English
Copyright
© 2017 A Rovers, B.M. Meijers, P.J.M. van Oosterom
Research Group
OLD Department of GIS Technology
ISBN (electronic)
978-90-816960-7-4
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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.

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