Drill: Log-based Anomaly Detection for Large-scale Storage Systems Using Source Code Analysis (Conference Paper) | NSF PAGES

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This content will become publicly available on May 1, 2024

Drill: Log-based Anomaly Detection for Large-scale Storage Systems Using Source Code Analysis

Award ID(s):: 1943204 1910747 2008265

NSF-PAR ID:: 10438363

Author(s) / Creator(s):: Zhang, Di; Egersdoerfer, Chris; Mahmud, Tabassum; Zheng, Mai; Dai, Dong

Date Published:: 2023-05-01

Journal Name:: 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS)

Page Range / eLocation ID:: 189 to 199

Format(s):: Medium: X

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
This content will become publicly available on May 1, 2024
Conference Paper:
https://doi.org/10.1109/IPDPS54959.2023.00028