Efficient organization and access of multi-dimensional datasets on tertiary storage systems
Information Systems - Special issue: scientific databases
Tertiary storage: an evaluation of new applications
Tertiary storage: an evaluation of new applications
Developing, coupling, and applying a gas, aerosol, transport, and radiation model to study urban and regional air pollution
Performance of a parallel global atmospheric chemical tracer model
Supercomputing '95 Proceedings of the 1995 ACM/IEEE conference on Supercomputing
BigSur: A System For the Management of Earth Science Data
VLDB '95 Proceedings of the 21th International Conference on Very Large Data Bases
Efficient Organization of Large Multidimensional
Efficient Organization of Large Multidimensional
Modeling and Identifying Bottlenecks in the EOSDIS Architecture
Modeling and Identifying Bottlenecks in the EOSDIS Architecture
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Many parallel application areas that exploit massive parallelism, such as climate modeling, require massive storage systems for the archival and retrieval of data sets. As such, advances in massively parallel computation must be coupled with advances in mass storage technology in order to satisfy I/O constraints of these applications. We demonstrate the effects of such I/O-computation disparity for a representative distributed information system, NASA's Earth Observing System Distributed Information System (EOSDIS). We use performance modeling to identify bottlenecks in EOSDIS for two representative user scenarios from climate change research.