@inproceedings{2b05a84d575e44eb9503f80af71edd7c,
title = "Summary of PAKDD CUP 2020: From Organizers{\textquoteright} Perspective",
abstract = "PAKDD2020 Alibaba AI Ops Competition is jointly organized by PAKDD2020, Alibaba Cloud, and Alibaba Tianchi platform. The task of the competition is to predict disk failures in large-scale cloud computing environments. We provide SMART (Self-Monitoring, Analysis and Reporting Technology) logs on a daily basis in the production environments without any preprocessing except anonymization. The SMART logs pose great challenges for analysis and disk failure prediction in real production environments, such as data noises and the extreme data imbalance property. In this paper, we first describe the competition task, practical challenges, and evaluation metrics. We then present the statistical results of the competition and summarize the key techniques adopted in the submitted solutions. Finally, we discuss the open issues and the choices of techniques regarding the online deployment.",
keywords = "AI Ops, Cloud computing, Disk failure prediction",
author = "Cheng He and Yi Liu and Tao Huang and Fan Xu and Jiongzhou Liu and Shujie Han and Lee, \{Patrick P.C.\} and Pinghui Wang",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Singapore Pte Ltd.; AI Ops Competition on Large-Scale Disk Failure Prediction, AI Ops 2020, held at the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020 ; Conference date: 11-05-2020 Through 14-05-2020",
year = "2020",
doi = "10.1007/978-981-15-7749-9\_13",
language = "英语",
isbn = "9789811577482",
series = "Communications in Computer and Information Science",
publisher = "Springer",
pages = "130--142",
editor = "Cheng He and Yi Liu and Mengling Feng and Lee, \{Patrick P.C.\} and Shujie Han and Pinghui Wang",
booktitle = "Large-Scale Disk Failure Prediction - PAKDD 2020 Competition and Workshop, AI Ops 2020, Revised Selected Papers",
}