Topic : High Performance Federated Service-Oriented Geographic Information
Systems
Location : Room 222
Date : Friday, February 8
Time: 3:00 pm
Abstract:
Geospatial information is critical to the effective and collaborative
decision making in earth-related disaster planning, crisis management and
early-warning systems. The decision making in GIS increasingly relies on
analyses of spatial data in map-based formats. Maps are complex structures
composed of layers created from distributed heterogeneous data and
computation resources belonging to the separate virtual organizations from
various expert skill levels.
We propose infrastructure for understanding and managing the production of
knowledge from distributed observation, simulation and analysis through
integrated data-views in the form of multi-layered map images.
Infrastructure is based on common data model, standard GIS Web-Service
components and a federator. Federator federates GIS services and enables
unified data access/query, display and analysis over integrated data-views.
After giving a complete architecture for GIS domain, we generalized the
problem domain and abstracted the architecture for the other domains in
terms of principles, components and architectural requirements.
We also studied high-performance design techniques in Federated
Service-oriented Geographic Information Systems in which the
interoperability is granted by the structured common data models and
standard service interfaces. The performance tests, measurement and
analysis are done over the real geo-science applications.
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