We consider a computing system where a master processor assigns tasks for execution to worker processors through the Internet. The workers' decision of whether to comply or not is modeled as a repeated game. The master processor aims to maximize the number of tasks completed, while the workers aim to minimize their workload. The system's behavior is analyzed using game theory, and the results show that the master processor can achieve a high completion rate by strategically assigning tasks and providing incentives to the workers.