Abstract
Many complicated applications use grid and cloud computing for their visualization. After completion of each partial simulation step, the results are stored in reserved output area of the storage element and accessible for further processing. In this paper we present a visualization tool to visualize astrophysical simulations and natural disasters simulations using grid and cloud computing.
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References
Chambers, J.E.: A hybrid symplectic integrator that permits close encounters between massive bodies. Monthly Notices of the Royal Astronomical Society 304, 793–799 (1999)
Jakubík, M., Neslušan, L., Dybczyňski, P.A., Leto, G.: The formation of outer comet Oort cloud. Simulation the first giga-zear of the evolution. In: 3rd International Workshop on Grid Computing for Complex Problems, pp. 17–24
Neslušan, L., Leto, G., Jakubík, M., Paulech, T.: The model of the current stellar perturbations on the Oort Cloud. In: Second International Workshop on grid computing for Complex Problems, Institute of Informatics, Slovak Acad. Sci., Bratislava, November 27-29, pp. 52–59 (2006)
Duncan, M., Quinn, T., Tremaine, S.: The formation and extent of the solar system comet cloud. Astronomical Journal 94, 1330–1338 (1987)
Astalos J.: Experiences from porting the astrophysical simulation The unified theory of Kuiper-belt and Oort-cloud formation to EGEE grid. In: The 3rd EGEE User Forum, http://indico.cern.ch/contributionDisplay.py?contribId=139&sessionId=19&confId=22351
Glasa, J., Halada, L.: Application of envelope theory for 2D fire front evolution. In: Int. Conf. on Forest Fire Research, Figueira da Foz, Portugal (2006)
Zheng: First International Multi-Symposiums on Computer and Computational Sciences, IM SCCS apos 2006, vol. 1(20-24), pp. 683–687 (June 2006), doi:10.1109/IMSCCS.2006.107
Anthes, C., Volkert, J.: InVRs - A Framework for Building Interactive Networked Virtual Reality Systems. In: Gerndt, M., Kranzlmüller, D. (eds.) HPCC 2006. LNCS, vol. 4208, pp. 894–904. Springer, Heidelberg (2006)
Myerson, J.: (imyerson@bellatlantic.net) Cloud computing versus grid computing (March 3, 2009), http://www.ibm.com/developerworks/web/library/wa-cloudgrid/
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Pajorová, E., Hluchý, L. (2010). Complicated Simulation Visualization Based on Grid and Cloud Computing. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. Lecture Notes in Computer Science, vol 6240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16066-0_32
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DOI: https://doi.org/10.1007/978-3-642-16066-0_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16065-3
Online ISBN: 978-3-642-16066-0
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