DocumentCode :
3237975
Title :
Computing and Data Grids for Science and Engineering
Author :
Johnston, William E. ; Gannon, Dennis ; Nitzberg, Bill ; Tanner, Leigh Ann ; Thigpen, Bill ; Woo, Alex
Author_Institution :
Lawrence Berkeley National Laboratory and Numerical Aerospace Simulation Division
fYear :
2000
fDate :
04-10 Nov. 2000
Firstpage :
52
Lastpage :
52
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 that 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.
Keywords :
Grids; distributed computing architecture; distributed resource management; Collaboration; Computer architecture; Data engineering; Data handling; Grid computing; High performance computing; Instruments; Large-scale systems; Power grids; Software systems; Grids; distributed computing architecture; distributed resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Supercomputing, ACM/IEEE 2000 Conference
ISSN :
1063-9535
Print_ISBN :
0-7803-9802-5
Type :
conf
DOI :
10.1109/SC.2000.10007
Filename :
1592765
Link To Document :
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