Abstract
The effective and efficient computing resource allocation is a critical issue in the challenging achievement of realistic, high space and temporal resolution and computing time affordable weather, marine and soil flooding simulation and forecast. Resource allocation relies on matchmaking tool, which must be flexible and straightforward to be deployed, configured and used. Using the Globus Toolkit 4 and our resource broker service, we compared the ClassAd matchmaking algorithm with our matchmaking algorithm and then we integrated the two algorithms in order to avoid their drawbacks.
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References
Foster, I.: Globus Toolkit Version 4: Software for Service-Oriented Systems. Journal of Computational Science and Technology International Journal of High Performance Computing Applications 21(4), 523–530 (2006)
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, Springer, Heidelberg (2007)
Thain, D., Tannenbaum, T., Livny, M.: Distributed Computing in Practice: The Condor Experience. Concurrency and Computation: Practice and Experience 17(2-4), 323–356 (2005)
Raman, R.: Matchmaking Frameworks for Distributed Resource Management. Ph.D. Dissertation (October 2000)
Dumais, S.T.: Using LSI for Information Retrieval, Information Filtering, and Other Things. In: Cognitive Technology Workshop (April 1997)
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(6), 391–407 (1990)
Montella, R., Giunta, G., Riccio, A.: An integrated ClassAd-Latent Semantic Indexing matchmaking algorithm for Globus Toolkit based computing grids. In: Proceedings of the Workshop on Models, Algorithms and Methodologies for Grid-enabled Computing Environments (2007)
Foster, I., Kesselman, C., Tuecke, S.: The Anatomy of the Grid: Enabling Scalable Virtual Organizations. Intl. J. High Performance Computing Applications 15(3), 200–222 (2001)
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, Springer, Heidelberg (2006)
Giunta, G., Montella, R., Mariani, P., Riccio, A.: Modeling and computational issues for air/water quality problems. A grid computing approach. Il Nuovo Cimento 28C(2) (2005)
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Montella, R., Giunta, G., Riccio, A. (2008). An Integrated ClassAd-Latent Semantic Indexing Matchmaking Algorithm for Globus Toolkit Based Computing Grids. 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_100
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DOI: https://doi.org/10.1007/978-3-540-68111-3_100
Publisher Name: Springer, Berlin, Heidelberg
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