Paper
26 May 2023 A survey on event connections and their discovery for cloud service
Zhen Zhang, Chunhe Xia, Shuyu Li, Zhiying Liu, Mingzhi Huang, Chengling Huang, Xiaojian Li
Author Affiliations +
Proceedings Volume 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023); 1270003 (2023) https://doi.org/10.1117/12.2682420
Event: International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 2023, Nanchang, China
Abstract
Connection is the effect between events. It is an important basis for judging of violations and source-trace of failure in cloud service accountability. This paper presents a survey on the event connections including the features, method of discovery and correction. Most of recent research on event connections in cloud services relying on manually labeling and correcting to event connections, and a few of them have achieved automatically labeling of event connections. Finally, we give out a taxonomy of the recent research, some problems in the method of discovery and correction, and an approach in the paper.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhen Zhang, Chunhe Xia, Shuyu Li, Zhiying Liu, Mingzhi Huang, Chengling Huang, and Xiaojian Li "A survey on event connections and their discovery for cloud service", Proc. SPIE 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 1270003 (26 May 2023); https://doi.org/10.1117/12.2682420
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KEYWORDS
Clouds

Data modeling

Education and training

Error control coding

Machine learning

Mining

Failure analysis

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