Abstract
This paper shows how virtualization techniques can be introduced into the grid computing infrastructure to provide a transparent and homogeneous scientific computing environment. Today’s trends in grid computing propose a shared model where different organizations make use of a heterogeneous grid, frequently a cluster of clusters (CoC) of computing and network resources. This paper shows how a grid computing model can be virtualized, obtaining a simple and homogeneous interface that can be offered to the clients. The proposed system called virtual grid, uses virtualization support and is developed from integration of standard grid and cloud computing technologies.Furthermore, a Scientific Computing Environment (SCE) has been developed to provide uniform access to the virtual grid.
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© 2012 Springer-Verlag Berlin Heidelberg
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Raboso, M. et al. (2012). A Scientific Computing Environment for Accessing Grid Computing Systems Using Cloud Services. In: Omatu, S., De Paz Santana, J., González, S., Molina, J., Bernardos, A., Rodríguez, J. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28765-7_41
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DOI: https://doi.org/10.1007/978-3-642-28765-7_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28764-0
Online ISBN: 978-3-642-28765-7
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