Afternoon Sessions, Venetian Room

2:00 pm - 2:30 pm
Geospatial Data in Cloud and High Performance Computing Environments
Ben Mearns, Lead Geospatial Information Consultant, University of Delaware-Information Technologies

Cloud and high performance computing for geospatial data management and analysis has emerged with the proliferation of multi-core and multi-node infrastructure and high speed network connections. University of Delaware-Information Technologies has investigated and deployed a number of strategies for harnessing these trends. The presenter will discuss some of UD’s experiences with geospatial data management and analysis on cloud and high performance computing environments including: Amazon EC2, VMware, ArcGIS Server, Python, IDL and more.

2:30 pm - 3:00 pm

3:00 pm - 3:30 pm
Affordable alternatives for Multi-user Enterprise GIS: Experiences with PostGRES/PostGIS, SQLServer, and Oracle Spatial
Eric Flint, Jonathan Mann, Kyle Martin, Alexander Nohe, John O'Brien, Chapman Cole, Salisbury University

This presentation discusses our experiences implementing identical Enterprise GIS scenarios with multiple users.  The project evaluated two freely available commercial spatial databases (SQLServer Express, Oracle Express), and one open source spatial database (PostGRES/PostGIS) as the back-end server technology.  We also evaluated the use of two commercially available GIS (ArcGIS 10, Manifold 8), one open source GIS (Quantum GIS), and a CAD program (AutoCAD) as the client software.   The presentation will provide an overview of our experience implementing the different scenarios including the strengths and weaknesses of each approach and will also present a short demonstration of how multiple users and different client software can work simultaneously on the same enterprise platform.  We will also present the results of performance measures among the different software.