Abstract
Today, data grid appears more and more like the future solution of hardware and software offering infinite computing and storage capacity. In order to best exploit the available resources, it seems necessary to design new replication solutions and data movement suited to this type of architecture. It is therefore necessary to adapt the travel policies, positioning and data management based on the needs of applications and the opportunities for the underlying platform to optimize the execution time. The work presented in this paper is a solution to this problem.