Résumé : Data Handover, DHO, is a general purpose API for an efficient management for locking and mapping data. Through objects called \textit{lock handles}, it enables to control resources in a distributed setting. Such handles ease the access to data for client code, by ensuring data consistency and efficiency at the same time. This paper explores DHO as it was presented in {gustedt2006}. We model the phases that a lock handle crosses to achieve a DHO locking/mapping life cycle. The Grid Reality And Simulation (GRAS) environment of SimGrid is used as a support of an implementation of DHO and a series of tests and benchmarks of that implementation is presented. GRAS has the advantage of allowing the execution in either the simulator or on a real platform. For that purpose, we exploited a cluster of Grid'5000. The experiments that carried out cover various scenarios of sequences to lock a resources (inclusive or exclusive locking only, or combinations of both) and of combining different architectural factors. The tests demonstrate the ability of DHO to provide a robust and scalable framework. The good evaluation of the present work is consistent with an analysis of the expected behavior done by queuing theory.