WPS mediation: An approach to process geospatial data on different computing backends (Articolo in rivista)

Type
Label
  • WPS mediation: An approach to process geospatial data on different computing backends (Articolo in rivista) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.cageo.2011.10.009 (literal)
Alternative label
  • Giuliani G., Nativi S., Lehmann A., Ray N. (2012)
    WPS mediation: An approach to process geospatial data on different computing backends
    in Computers & geosciences; Elsevier, Oxford (Regno Unito)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Giuliani G., Nativi S., Lehmann A., Ray N. (literal)
Pagina inizio
  • 20 (literal)
Pagina fine
  • 33 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 47 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 14 (literal)
Note
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • University of Geneva, Institute for Environmental Sciences, Climatic Change and Climate Impacts, EnviroSPACE Lab., Battelle-Building D, 7 route de Drize, CH-1227 Carouge, Switzerland Institute of Methodologies for Environmental Analysis, C.da S. Loja-Zona Industriale, I-85050 Tito Scalo, Italy United Nations Environment Programme, Division of Early Warning and Assessment, Global Resource Information Database-Geneva, International Environment House, 11 chemin des Anémones, CH-1219 Châtelaine, Switzerland University of Geneva, Forel Institute, 10 route de Suisse, CP 416, CH-1290 Versoix, Switzerland (literal)
Titolo
  • WPS mediation: An approach to process geospatial data on different computing backends (literal)
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. (literal)
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