UNIGE document Scientific Article
previous document  unige:19291  next document
add to browser collection

WPS mediation: An approach to process geospatial data on different computing backends

Nativi, Stefano
Published in Computers & geosciences. 2012, vol. 47, p. 20-33
Abstract The OGC Web Processing Service (WPS) specification allows generating information by processing distributed geospatial data made available through Spatial Data Infrastructures (SDIs). However, current SDIs have limited analytical capacities and various problems emerge when trying to use them in data and computing-intensive domains such as environmental sciences. These problems are usually not or only partially solvable using single computing resources. Therefore, the Geographic Information (GI) community is trying to benefit from the superior storage and computing capabilities offered by distributed computing (e.g., Grids, Clouds) related methods and technologies. Currently, there is no commonly agreed approach to grid-enable WPS. No implementation allows one to seamlessly execute a geoprocessing calculation following user requirements on different computing backends, ranging from a stand-alone GIS server up to computer clusters and large Grid infrastructures. Considering this issue, this paper presents a proof of concept by mediating different geospatial and Grid software packages, and by proposing an extension of WPS specification through two optional parameters. The applicability of this approach will be demonstrated using a Normalized Difference Vegetation Index (NDVI) mediated WPS process, highlighting benefits, and issues that need to be further investigated to improve performances.
Keywords Web Processing ServiceMediationGrid computingGeospatial dataPyWPSGanga
Full text
Research groups Envirospace Lab
Global Resource Information Database (GRID)
ISE Pôle Informatique environnementale
ISE Pôle Sciences
European Commission: ENVIROGRIDS
(ISO format)
GIULIANI, Gregory et al. WPS mediation: An approach to process geospatial data on different computing backends. In: Computers & geosciences, 2012, vol. 47, p. 20-33. doi: 10.1016/j.cageo.2011.10.009 https://archive-ouverte.unige.ch/unige:19291

623 hits



Deposited on : 2012-03-29

Export document
Format :
Citation style :