| | |
Summary: An Atmospheric Sciences Workflow and its
Implementation with Web Services
David Abramson §, Jagan Kommineni, §, John L. McGregor and Jack Katzfey
§ School of Computer Science and Software Eng., Monash University, 900 Dandenong Rd,
Caulfield East, 3145, Australia
Division of Atmospheric Science, CSIRO, PMB 1, Aspendale,Vic, 3195, Australia
Abstract: Computational and data Grids couple geographically distributed
resources such as high performance computers, workstations, clusters, and
scientific instruments. Grid Workflows consist of a number of components,
including: computational models, distributed files, scientific instruments and
special hardware platforms. In this paper, we describe an interesting grid
workflow in atmospheric sciences and show how it can be implemented using
Web Services. An interesting attribute of our implementation technique is that
the application codes can be adapted to work on the Grid without source
modification.
1. Introduction
Computational and data Grids couple geographically distributed resources such as
high performance computers, workstations, clusters, and scientific instruments.
Accordingly, they have been proposed as the next generation computing platform for
solving large-scale problems in science, engineering, and commerce [4][5]. Unlike
|
