In this paper, we detail how two types of distributed coordinator election algorithms can be compared in terms of performance based on an evaluation on the High Performance Computing (HPC) infrastructure. An experimental approach based on an MPI (Message Passing Interface) implementation is presented, with the goal to characterize the relevant evaluation metrics based on statistical processing of the results. The presented approach can be used to learn master students of a course on distributed software the basics of algorithms for coordinator election, and how to conduct an experimental performance evaluation study. Finally, use cases where distributed coordinator election algorithms are useful are presented.

翻译：在本文中,我们详细说明如何根据对高性能电子计算基础设施的评价,比较两类分布式协调员选举算法的业绩,介绍了基于MPI(邮件通过接口)实施的实验方法,目的是根据对结果的统计处理,确定相关评价指标的特点,可以采用介绍的方法,学习关于分布式软件的课程的硕士学生关于协调员选举算法的基本原理,以及如何进行试验性业绩评价研究,最后介绍了使用分布式协调员选举算法有用的案例。