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 for this study 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. We discuss the funding for wide distribution of high-resolution datasets to universities and the student response to use of this data for education.


Computer Sciences

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URL: http://digitalcommons.calpoly.edu/csse_fac/225