| P. H. Smith and J. Van Rosendale. Data and Visualization Corridors. Report on DVC Workshop Series, 1998. |
....distributed computing. Keywords: multi storage resource architecture, I O performance prediction, data intensive computing 1. Introduction Many large scale scientific applications are data intensive: they generate huge amounts of data, presenting a major problem for computational scientists [28]. In a traditional computing environment, the compute resource is tightly coupled with local file systems, i.e. using local disks as data storage. As the rate that data is produced increases and the amount significantly exceeds that of disk capacity, large scale scientific applications have to ....
P.H. Smith and J. van Rosendale, Data and Visualization Corridors, Report on DVC Workshop Series (1998).
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P. H. Smith and J. Van Rosendale. Data and Visualization Corridors. Report on DVC Workshop Series, 1998.
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