Computing and data grids for science and engineering

Authors:
William E. Johnston;Dennis Gannon;Bill Nitzberg;Leigh Ann Tanner;Bill Thigpen;Alex Woo
Affiliations:
National Energy Research Scientific Computing Division, Lawrence Berkeley National Laboratory and Numerical Aerospace, Simulation Division, NASA Ames Research Center;Computer Science Department, University of Indiana and NAS, NASA Ames;Veridian Systems, PBS Products;Numerical Aerospace Simulation Division, NASA Ames Research Center;Numerical Aerospace Simulation Division, NASA Ames Research Center;-
Venue:
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Year:
2000

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Abstract

We use the term "Grid" to refer to a software system that provides uniform and location independent access to geographically and organizationally dispersed, heterogeneous resources which are persistent and supported. While, in general, Grids will provide the infrastructure to support a wide range of services in the scientific environment (e.g. collaboration and remote instrument control) in this paper we focus on services for high performance computing and data handling. We describe the services and architecture of NASA's Information Power Grid ("IPG")-an early example of a large-scale Grid-and some of the issues that have come up in its implementation.