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2000

A data intensive distributed computing architecture for "Grid" applications

9 years 1 months ago
A data intensive distributed computing architecture for "Grid" applications
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing large-scale computation. The distributed systems that solve large-scale problems will always involve aggregating and scheduling many resources. Data must be located and staged, cache and network capacity must be available at the same time as computing capacity, etc. Every aspect of such a system is dynamic: locating and scheduling resources, adapting running application systems to availability and congestion in the middleware and infrastructure, responding to human interaction, etc. The technologies, the middleware services, and the architectures that are used to build useful high-speed, wide area distributed systems, constitute the field of data intensive computing. This paper explores some of the history and future directions of that field, and describes some specific application examples.
Brian Tierney, William E. Johnston, Jason Lee, Mar
Added 18 Dec 2010
Updated 18 Dec 2010
Type Journal
Year 2000
Where FGCS
Authors Brian Tierney, William E. Johnston, Jason Lee, Mary R. Thompson
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