Abstract
The effective and efficient computing resource allocation, leveraging on a flexible, but straightforward to deploy, configure and use matchmaking tool, is a key component in the grand challenge of realistic, high resolution and computing time affordable environmental simulations and forecasts. With the aim of building a computing environmental science virtual laboratory, we developed a suite of Globus Toolkit 4 based web services to implement an interoperable service oriented architecture integrating matchmaking and resource broking, workflow management, data and metadata advertisement and instruments integration.
Work partially supported by the S.Co.P.E. Italian PON project, funded by Ministero dell’Università e della Ricerca, PON 2000-2006.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Arango, H.G., Moore, A.M., Miller, A.J., Cornuelle, B.D., Lorenzo, E.D., Neilson, D.J.: The ROMS Tangent Linear and Adjoint Models: A comprehensive ocean prediction and analysis system. IMCS, Rutgers Tech. Reports (2006)
Ascione, I., Giunta, G., Montella, R., Mariani, P., Riccio, A.: A Grid Computing Based Virtual Laboratory for Environmental Simulations. In: Nagel, W.E., Walter, W.V., Lehner, W. (eds.) Euro-Par 2006. LNCS, vol. 4128, pp. 1085–1094. Springer, Heidelberg (2006)
Barone, G., D’Ambra, P., di Serafino, D., Giunta, G., Montella, R., Murli, A., Riccio, A.: An Operational Mesoscale Air Quality Model for the Campania Region. In: Proc. 3th GLOREAM Workshop, Annali Istituto Universitario Navale (special issue), pp. 179–189 (2000)
Barone, G., D’Ambra, P., di Serafino, D., Giunta, G., Murli, A., Riccio, A.: Parallel software for air quality simulation in Naples area. J. Eviron. Manag. and Health 10, 209–215 (2000)
Booij, N., Holthuijsen, L.H.: The SWAN wave model for shallow water. In: Proc. 25th Int. Conf. Coastal Eng., vol. 1, pp. 668–676 (1996)
Deerwester, S., Dumais, S.T., Landauer, T.K., Furnas, G.W., Harshman, R.A.: Indexing by latent semantic analysis. Journal of the Society for Information Science 41, 391–407 (1990)
Doty, B.E., Kinter III, J.L.: Geophysical Data Analysis and Visualization using GrADS. In: Szuszczewicz, E.P., Bredekamp, J.H. (eds.) Visualization Techniques in Space and Atmospheric Sciences, pp. 209–219. NASA (1995)
Foster, I.: Globus Toolkit Version 4: Software for Service-Oriented Systems. Journal of Computational Science and Technology 21, 513–520 (2006)
Giunta, G., Mariani, P., Montella, R., Riccio, A.: pPOM:A nested, scalable, parallel and Fortran 90 implementation of the Princeton Ocean Model. Envirnonmental Modelling & Software 22, 117–122 (2007)
Liu, C., Foster, I.: A Constraint Language Approach to Matchmaking. In: 14th International Workshop on Research Issues in Data Engineering (RIDE-WS-ECEG 2004), Web Services for E-Commerce and E-Government Applications, pp. 7–14. IEEE Computer Society, Los Alamitos (2004)
Michalakes, J., Canfield, T., Nanjundiah, R., Hammond, S., Grell, G.: Parallel Implementation, Validation, and Performance of MM5. In: Parallel Supercomputing in Atmospheric Science, World Scientific Publ. Company, Singapore (1994)
Michalakes, J., Dudhia, J., Gill, D., Henderson, T., Klemp, J., Skamarock, W., Wang, W.: The Weather Research and Forecast Model:Software Architecture and Performance. In: Zwiefloher, W., Modzynski, G. (eds.) Use of High Performance Computing in Meteorology. Proceedings of the ECMWF Workshop on the Use of High Performance Computing in Meteorology, World Scientific Publ. Company, Singapore (2005)
Montella, R.: Development of a GT4-based Resource Broker Service: an application to on-demand weather and marine forecasting. In: Cérin, C., Li, K.-C. (eds.) GPC 2007. LNCS, vol. 4459, pp. 204–217. Springer, Heidelberg (2007)
Montella, R., Giunta, G., Riccio, A.: Using grid computing based components in on demand environmental data delivery. In: Proceedings of Use of P2P, GRID and Agents for the Development of Content Networks (UPGRADE-CN 2007) (2007)
Montella, R., Giunta, G., Riccio, A.: An integrated ClassAd-Latent Semantic Indexing matchmaking algorithm for Globus Toolkit based computing grids. These Proceedings
Montella, R., Riccio, A., Menna, M., Mastrangelo, D.: A Globus Toolkit 4 based Instrument Service for environmental data acquisition. Dept. of Applied Science at University of Naples Parthenope Tech Report (2007)
Morris, R.E., Yarwood, G., Emery, C., Wilson, G.: Recent Advances in CAMx Air Quality Modeling. A&WMA Annual Meeting and Exhibition, Orlando, FL (2001)
Raman, P.: Matchmaking Frameworks for Distributed Resource Management. Ph.D. Dissertation (2000)
Schopf, J.M., D’Arcy, M., Miller, N., Pearlman, L., Foster, I., Kesselman, C.: Monitoring and Discovery in a Web Services Framework:Functionality and Performance of the Globus Toolkit’s MDS4. Argonne National Laboratory Tech Report ANL/MCS-P1248-0405 (2005)
Tolman, H.L.: A third-generation model for wind waves on slowly varying, unsteady and inhomogeneous depths and currents. J. Phys. Oceanogr. 21, 782–797 (1991)
Wielgosz, J.: Anagram - A modular java framework for high-performance scientific data servers. In: 20th International Conference on Interactive Information and Processing Systems (IIPS) for Meteorology, Oceanography, and Hydrology (2004)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Montella, R., Giunta, G., Laccetti, G. (2008). A Grid Computing Based Virtual Laboratory for Environmental Simulations. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2007. Lecture Notes in Computer Science, vol 4967. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68111-3_101
Download citation
DOI: https://doi.org/10.1007/978-3-540-68111-3_101
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68105-2
Online ISBN: 978-3-540-68111-3
eBook Packages: Computer ScienceComputer Science (R0)