CAJ | 학술논문

随着大数据时代的到来，人们对于计算机系统的稳定性要求日益增高，如何快速而准确地找出系统中的故障点，成为了人们的研究热题，对系统级故障诊断算法的研究逐渐受到了人们的重视。本文首先对现有的系统级故障诊断算法进行了分类，进而阐述了系统级故障诊断算法的近期主要研究成果，最后预测了该领域的未来研究方向与发展前景。
수착대수거시대적도래，인문대우계산궤계통적은정성요구일익증고，여하쾌속이준학지조출계통중적고장점，성위료인문적연구열제，대계통급고장진단산법적연구축점수도료인문적중시。본문수선대현유적계통급고장진단산법진행료분류，진이천술료계통급고장진단산법적근기주요연구성과，최후예측료해영역적미래연구방향여발전전경。
With the arrival of the era of big data, it requires the stability of any computer systems,and how to identify the faulty nodes in the system quickly and accurately has become a hot topic for researchers, system-level fault diagnosis algorithm research gradually attack people's attention.The paper firstly classify the existing system-level fault diagnosis algorithms,and then describes the main research results of the system-level fault diagnosis algorithm recently,finally predict the future prospects of the research and development in the field.