Abstract
The design and execution of complex scientific applications in the Grid is a difficult and work-intensive process which can be simplified and optimized by the use of an appropriate tool for the creation and management of the experiment. We propose SEGL (Science Experimental Grid Laboratory) as a problem solving environment for the optimized design and execution of complex scientific Grid applications. SEGL utilizes GriCoL (Grid Concurrent Language), a simple and efficient language for the description of complex Grid experiments.
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References
Foster, I., Kesselman, C.: The Grid: blueprint for a future computing infrastructure. Morgan Kaufmann Publishers, USA (1999)
Yarrow, M., McCann, K., Biswas, R., van der Wijngaart, R.: An advanced user interface approach for complex parameter study process specification on the information power Grid. In: Proc. of the Workshop on Grid Computing, Bangalore, India (2002)
Currle-Linde, N., Bös, F., Resch, M.: GriCoL: A language for Scientific Grids. In: Sloot, P., van Albada, G., Bubak, M., Trefethen, A. (eds.) Proc. of the 2nd IEEE International Conference on e-Science and Grid Computing, Amsterdam, p. 62 (2006)
De Vivo, A., Yarrow, M., McCann, K.: A comparison of parameter study creation and job submission tools. Technical report NAS-01002, NASA Ames Research Center, Moffet Filed, CA (2000)
Yu, J., Buyya, R.: J. Grid Comput. 3(3-4), 171–200 (2005)
Erwin, D.: Joint project report for the BMBF Project UNICORE Plus, Grant Number: 01 IR 001 A-D (2002)
Foster, I., Kesselman, C.: J. Supercomputer Appl. 11(2), 115–128 (1997)
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Currle-Linde, N., Resch, M., Küster, U. (2008). SEGL: A Problem Solving Environment for the Design and Execution of Complex Scientific Grid Applications. In: Krause, E., Shokin, Y.I., Resch, M., Shokina, N. (eds) Computational Science and High Performance Computing III. Notes on Numerical Fluid Mechanics and Multidisciplinary Design, vol 101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69010-8_16
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DOI: https://doi.org/10.1007/978-3-540-69010-8_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69008-5
Online ISBN: 978-3-540-69010-8
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