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ThinkMind // GEOProcessing 2019, The Eleventh International Conference on Advanced Geographic Information Systems, Applications, and Services // View article geoprocessing_2019_2_30_30063


WhizPS: An Architecture for Well-conditioned, Scalable Geoprocessing Services Based on the WPS Standard

Authors:
Marius Laska
Stefan Herle
Jörg Blankenbach
Eric Fichter
Jérôme Frisch

Keywords: Geoprocessing; Web service; Web Processing Service; Scalability; Geothermal Simulation

Abstract:
Spatial simulations and models are often expert tools which solve a specific spatial problem or model a spatial process. Exposing theses analysis capabilities as a web service is a huge benefit to users of web-based Geographic Information Systems (GISs). The Web Processing Service (WPS) standard was developed to realize these services. In the Geothermal Information System for Potential Studies in Subsurface Soil Layers (GeTIS) project, several complex analysis tools should be exposed as a WPS service and, simultaneously, follow the concept of well-conditioned, scalable services. In this paper, we describe our implemented backend, which can be used to bind expert tools and facade them with the WPS interface. The architecture rests on different communication mechanisms such as Remote Procedure Calls (RPCs) and message queuing as well as geospatial services such as Web Map Service (WMS).

Pages: 29 to 34

Copyright: Copyright (c) IARIA, 2019

Publication date: February 24, 2019

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-687-3

Location: Athens, Greece

Dates: from February 24, 2019 to February 28, 2019

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