DocumentCode :
2357007
Title :
Design, implementation and performance evaluation of GridRPC programming middleware for a large-scale computational grid
Author :
Tanaka, Yoshio ; Takemiya, Hiroshi ; Nakada, Hidemoto ; Sekiguchi, Satoshi
Author_Institution :
Grid Technol. Res. Center, AIST, Ibaraki, Japan
fYear :
2004
fDate :
8 Nov. 2004
Firstpage :
298
Lastpage :
305
Abstract :
This paper reports on the design, implementation and performance evaluation of a suite of GridRPC programming middleware called Ninf-G Version 2 (Ninf-G2). Ninf-G2 is a reference implementation of the GridRPC API, a proposed GGF standard. Ninf-G2 has been designed so that it provides 1) high performance in a large-scale computational Grid, 2) the rich functionalities which are required to adapt to compensate for the heterogeneity and unreliability of a Grid environment, and 3) an API which supports easy development and execution of Grid applications. Ninf-G2 is implemented to work with basic Grid services, such as GSI, GRAM, and MDS in the Globus Toolkit version 2. The performance ofNinf-G2 was evaluated using a weather forecasting system which was developed using Ninf-G2. The experimental results indicate that high performance can be attained even in relatively fine-grained task-parallel applications on hundreds of processors in a Grid environment.
Keywords :
grid computing; middleware; parallel processing; performance evaluation; remote procedure calls; GRAM; GSI; Globus Toolkit version 2; GridRPC API; GridRPC programming middleware; MDS; Ninf-G Version 2; fine-grained task-parallel application; grid service; large-scale computational grid; performance evaluation; weather forecasting system; Dynamic programming; Grid computing; High performance computing; Large-scale systems; Libraries; Middleware; Monte Carlo methods; Parallel programming; Programming profession; Weather forecasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grid Computing, 2004. Proceedings. Fifth IEEE/ACM International Workshop on
ISSN :
1550-5510
Print_ISBN :
0-7695-2256-4
Type :
conf
DOI :
10.1109/GRID.2004.20
Filename :
1382844
Link To Document :
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