The technological advances has led major organizations such as enterprises, universities andresearch institutes to acquire intranets consisting of several servers and many workstations.However, in some of these organizations, the resources are rarely used at nights, weekends and onholidays, thus releasing a large computing power available and unused.This thesis discusses the exploitation of the idle period of workstaions in order to run HPCapplications. The workstations retained are restarted and integrated in dynamically formed clusters.However, the idle periods do not always permit the complete carrying out of the computationsallocated to them. The checkpointing mechanisms are then used to save in a certain period, theexecution context of applications for a possible restart. It is worth nothing that checkpointing all theprocesses in the required period is not always possible. We propose a scheduling model ofcheckpointing in parallel, which takes into account the time constraints imposed and the bandwidthconstraints (network and disk) to maximize the computation time already taken for the applicationswhich are to be checkpointed.
