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Implementing Effective Data Management Policies in Distributed and Grid Computing Environments

  • Conference paper
Parallel Processing and Applied Mathematics (PPAM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4967))

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Abstract

A common programming model in distributed and grid computing is the client/server paradigm, where the client submits requests to several geographically remote servers for executing already deployed applications on its own data. In this context it is mandatory to avoid unnecessary data transfer because the data set can be very large. This work addresses the problem of implementing a strategy for data management in case of data dependencies among subproblems in the same application. To this purpose, some minor changes have been introduced to the Distributed Storage Infrastructure in NetSolve distributed computing environment.

This work has been carried out as part of the project ”Sistema Cooperativo Distribuito ad Alte Prestazioni per elaborazioni Scientifiche Multidisciplinari (S.CO.P.E.)”, supported by the Italian Ministry of Education, University and Research (MIUR), PON 2000-2006.

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Roman Wyrzykowski Jack Dongarra Konrad Karczewski Jerzy Wasniewski

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© 2008 Springer-Verlag Berlin Heidelberg

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Carracciuolo, L., Laccetti, G., Lapegna, M. (2008). Implementing Effective Data Management Policies in Distributed and Grid Computing Environments. 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_96

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  • DOI: https://doi.org/10.1007/978-3-540-68111-3_96

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-68105-2

  • Online ISBN: 978-3-540-68111-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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