GeoComputation in the grid computing age

Authors:
Qingfeng Guan;Tong Zhang;Keith C. Clarke
Affiliations:
Department of Geography, University of California, Santa Barbara, Santa Barbara, CA;Department of Geography, San Diego State University, San Diego, CA;Department of Geography, University of California, Santa Barbara, Santa Barbara, CA
Venue:
W2GIS'06 Proceedings of the 6th international conference on Web and Wireless Geographical Information Systems
Year:
2006

Citing 6
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Abstract

This paper first discusses some challenges that current GeoComputation faces in terms of usability, feasibility, applicability and availability, and the opportunities that will arise when new computing technologies, especially Grid Computing, emerge and prevail. A Grid-based geospatial problem-solving architecture is proposed to provide a solution for building an easy-to-use, widely accessible and high-performance geospatial problem-solving environment that integrates multiple complicated GeoComputational processes at an acceptable cost. A parallel geographic cellular automata model is given as an example to address some distinguishing issues when designing and implementing parallel algorithms for GeoComputation to effectively and efficiently utilize the computational Grid.