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.