DRAM failure prediction in AIOps: Empirical evaluation, challenges and opportunities

• Main Authors: WU, Zhiyue, XU, Hongzuo, PANG, Guansong, YU, Fengyuan, WANG, Yijie, JIAN, Songlei, WANG, Yongjun
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: DRAM failure prediction; Data center reliability; Cloud services; Databases and Information Systems; Data Storage Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/7135; https://ink.library.smu.edu.sg/context/sis_research/article/8138/viewcontent/2104.15052.pdf
• Institution: Singapore Management University

DRAM failure prediction is a vital task in AIOps, which is crucial to maintain the reliability and sustainable service of large-scale data centers. However, limited work has been done on DRAM failure prediction mainly due to the lack of public available datasets. This paper presents a comprehensive...