Abstract
Data management is one of the most fundamental aspects in a Data Grid where potentially Tera- or Petabytes are stored in distributed sites. Although there are many solutions to data management, mass storage systems and file system features are among the most dominant ones. This minisymposium will take out a few of these aspects and discuss them in more detail.
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© 2007 Springer-Verlag Berlin Heidelberg
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Benkner, S., Stockinger, H. (2007). Grid Data Management: Minisymposium Abstract. In: Kågström, B., Elmroth, E., Dongarra, J., Waśniewski, J. (eds) Applied Parallel Computing. State of the Art in Scientific Computing. PARA 2006. Lecture Notes in Computer Science, vol 4699. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75755-9_36
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DOI: https://doi.org/10.1007/978-3-540-75755-9_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75754-2
Online ISBN: 978-3-540-75755-9
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