Implementing effective data management policies in distributed and grid computing environments

Authors:
Luisa Carracciuolo;Giuliano Laccetti;Marco Lapegna
Affiliations:
Institute of Chemistry and Technology of Polymers, National Research Council, Department of Chemistry, Naples, Italy;Department of Mathematics and Applications, University of Naples Federico II, Naples, Italy;Department of Mathematics and Applications, University of Naples Federico II, Naples, Italy
Venue:
PPAM'07 Proceedings of the 7th international conference on Parallel processing and applied mathematics
Year:
2007

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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.