In recent years, the deployment rate of resource public key infrastructure (RPKI) has been increasing year by year, which challenges the performance and efficiency of the original monolithic synchronization architecture of the relying party software. Hence, its architectural design needs to be reevaluated to adapt to the evolution of RPKI technology. This study sorts out and analyzes the RPKI synchronization tasks, and then designs an RPKI relying party synchronization system based on the above analysis. Compared with the monolithic architecture, this distributed architecture boasts higher synchronization performance and node fault tolerance. At the same time, this study designs a variety of scheduling algorithms for the system. To further optimize the performance of the system, this study carries out groups of control analysis experiments of these scheduling algorithms and task scheduling strategies. From the experimental results, the dynamic scheduling algorithm under the large job first (LJF) task scheduling strategy has the best performance in this distributed system.