GSio: A programmatic interface for delivering Big Earth data-as-a-service. Issue 1 (22nd December 2017)

• Record Type: Journal Article
• Authors: Larraondo, Pablo R.; Pringle, Sean; Guo, Jian; Antony, Joseph; Evans, Ben
• Is Part Of: Big earth data. Volume 1:Issue 1/2(2017)
• Page Start: 173
• Page End: 190
• Publication Date: 2017-12-22
• Subjects: Big Earth Data -- data-as-a-service -- distributed -- scalable -- geospatial; Earth sciences -- Periodicals; Earth sciences -- Research -- Periodicals; Geographic information systems Periodicals; 550
• DOI: 10.1080/20964471.2017.1397898
• Languages: English
• ISSNs: 2096-4471

Abstract

Abstract: In this paper, we present GSio, a software system for serving geospatial raster or gridded Big Earth Data at scale. GSio allows different scientific communities to consume geospatial analysis ready data. It provides a generic interface to the data, which removes the need to interact with individual files, and can interoperate with existing geospatial collections hosted on data centres and public clouds. A distributed compute model is used to read and transform the data in parallel using a cluster of compute nodes for delivering data as a service to users. Several use cases are presented demonstrating different scenarios where this service has been used.