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.
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References
Chan, P., Abramson, D.: NetFiles: A Novel Approach to Parallel Programming of Master/Worker Applications. In: HPC Asia 2001, September 24-28 (2001) ∙ Royal Pines Resort Gold Coast, Queensland, Australia
Deelman, E., Blackburn, K., et al.: GriPhyN and LIGO, Building a Virtual Data Grid for Gravitational Wave Scientists. Presented at 11th Intl Symposium on High Performance Distributed Computing (2002)
Deelman, E., Blythe, J., Gil, Y., Kesselman, C., Mehta, G., Vahi, K., Lazzarini, A., Arbree, A., Cavanaugh, R., Koranda, S.: Mapping Abstract Complex Workflows onto Grid Environments. Journal of Grid Computing 1(1), 9–23 (2003)
Foster, I., Kesselman, C.: Globus: A Metacomputing Infrastructure Toolkit. International Journal of Supercomputer Applications 11(2), 115–128 (1997)
Foster, I., Kesselman, C. (eds.): The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann Publishers, USA (1999)
GriPhyN 2003, www.griphyn.org
McGregor, J.L., Nguyen, K.C., Katzfey, J.J.: Regional climate simulations using a stretched-grid global model. In: Ritchie, H. (ed.) Research activities in atmospheric and oceanic modelling, WMO, Geneva (2002) (CAS/JSC Working Group on Numerical Experimentation Report; 32; WMO/TD - no. 1105)
McGregor, J.L., Walsh, K.J., Katzfey, J.J.: Nested modelling for regional climate studies. In: Jakeman, A.J., Beck, M.B., McAleer, M.J. (eds.) Modelling Change in Environmental Systems, pp. 367–386. J. Wiley and Sons, Chichester (1993)
van Engelen, R.: The gSOAP toolkit 2.0, Technical report, Florida State University, http://www.cs.fsu.edu/~engelen/soap.html (2001)
Sun Microsystems, Web Services Made Easier: The Java APIs & Architectures for XML (2002), http://java.sun.com/webservices/white/ & http://java.sun.com/webservices/webservicespack.html
Walsh, K.J., McGregor, J.L.: January and July climate simulations over the Australian region using a limited-area model. J. Climate 8(10), 2387–2403 (1995)
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Abramson, D., Kommineni, J., McGregor, J.L., Katzfey, J. (2004). An Atmospheric Sciences Workflow and Its Implementation with Web Services. In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds) Computational Science - ICCS 2004. ICCS 2004. Lecture Notes in Computer Science, vol 3036. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24685-5_21
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DOI: https://doi.org/10.1007/978-3-540-24685-5_21
Publisher Name: Springer, Berlin, Heidelberg
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