We address the problem of migration of local storage of desktop users to remote sites. Assuming a network connection is maintained between the source and destination after the migration makes it possible for us to transfer a fraction of storage state while trying to operate as close to disconnected mode as possible. We have designed an approach to determine the subset of storage state that is to be transferred based on past accesses. We show that it is feasible to use information about files accessed to determine clusters and hot-spots in the file system. Using the tree structure of the file system and by applying an appropriate similarity measure to user accesses, we can approximate the working sets of the data accessed by the applications running at the time. Our results indicate that our technique reduces the amount of data to be copied by two orders of magnitude, bringing it into the realm of the possible.

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