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

Conference paper (2017)

Authors

B.M. Meijers OLD Department of GIS Technology
P.J.M. van Oosterom 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
expand_more

Published Date

2017

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Research Group

OLD Department of GIS Technology

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.