CONAN: Diagnosing Batch Failures for Cloud Systems

Failure diagnosis is critical to the maintenance of large-scale cloud systems, which has attracted tremendous attention from academia and industry over the last decade. In this paper, we focus on diagnosing batch failures, which occur to a batch of instances of the same subject (e.g., API requests,...

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Bibliographic Details

Published in:	IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice (Online) pp. 138 - 149
Main Authors:	Li, Liqun, Zhang, Xu, He, Shilin, Kang, Yu, Zhang, Hongyu, Ma, Minghua, Dang, Yingnong, Xu, Zhangwei, Rajmohan, Saravan, Lin, Qingwei, Zhang, Dongmei
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2023
Subjects:	Cloud Systems Contrast Pattern Diagnosis Incident Industries Maintenance engineering Manuals Measurement Metaheuristics Needles Software algorithms
ISSN:	2832-7659
Online Access:	Get full text
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