Fall 2004 Internet2 Member Meeting
Rapid Delivery of Massive Geospatial Data over Internet2 Location: Salon D
Brett Cannon , California Polytechnic State University-SLO
Michael Haungs , California Polytechnic State University-SLO
Rollin Strohman , California Polytechnic State University-SLO
Paul Weckler , Oklahoma State University
Session Abstract
We study the feasibility of the on-demand delivery of a massive geospatial
dataset over Internet2 for educational use. The dataset (20TB
uncompressed, 2.5TB compressed), generously made available by AirphotoUSA,
provides a seamless, one-meter resolution aerial orthophotograph covering
over three million square miles of the continental United States. We
identify factors that limit the scalability, availability and
user-perceived performance of serving such a dataset. To do this, we
conduct experiments that measure response times for various levels of
network congestion, bandwidth, and load. We also provide a
proof-of-concept experiment by serving the dataset over Internet2 to
students at Oklahoma State University. Given this information, we
determine the server-side architecture and resource requirements
sufficient to serve this dataset from Cal Poly. To protect AirphotoUSA's
commercial interests, the server architecture is constrained to be
centralized and not rely on client-side caching.
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Related Topic Areas
Advanced Applications: Cyberinfrastructure
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