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,...

Celý popis

Podrobná bibliografia

Vydané v:	IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice (Online) s. 138 - 149
Hlavní autori:	Li, Liqun, Zhang, Xu, He, Shilin, Kang, Yu, Zhang, Hongyu, Ma, Minghua, Dang, Yingnong, Xu, Zhangwei, Rajmohan, Saravan, Lin, Qingwei, Zhang, Dongmei
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.05.2023
Predmet:	Cloud Systems Contrast Pattern Diagnosis Incident Industries Maintenance engineering Manuals Measurement Metaheuristics Needles Software algorithms
ISSN:	2832-7659
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!