Cloud computing for geosciences: deployment of GEOSS clearinghouse on Amazon's EC2

Authors:
Qunying Huang;Chaowei Yang;Doug Nebert;Kai Liu;Huayi Wu
Affiliations:
George Mason University;George Mason University;U.S. Federal Geographic Data, Committee Secretariat;George Mason University;George Mason University
Venue:
Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems
Year:
2010

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Abstract

To test the utilization of cloud computing for Geosciences applications, the GEOSS clearinghouse was deployed, maintained and tested on the Amazon Elastic Cloud Computing (EC2) platform. The GEOSS Clearinghouse is a web based Geographic Metadata Catalog System, which manages millions of the metadata of the spatially referenced resources for the Global Earth Observations (GEO). Our experiment reveals that the EC2 cloud computing platform facilitates geospatial applications in the aspects of a) scalability, b) reliability, and c) reducing duplicated efforts among Geosciences communities. Our test of massive data inquiry by concurrent user requests proves that different applications should be justified and optimized when deploying onto the EC2 platform for a better balance of cost and performance.