Causality between violations and failure factors in cloud service and its analysis methods: a survey

Huang Liang; CuiPing Zhang; Fu Liao; ChengLing Huang; XiaoJian Li; MingZhi Huang; QinYue Su; JunXian Fan

doi:10.1117/12.2682441

26 May 2023 Causality between violations and failure factors in cloud service and its analysis methods: a survey

Huang Liang, CuiPing Zhang, Fu Liao, ChengLing Huang, XiaoJian Li, MingZhi Huang, QinYue Su, JunXian Fan

Proceedings Volume 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023); 127000V (2023) https://doi.org/10.1117/12.2682441
Event: International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 2023, Nanchang, China

Abstract

Causality is the relation of inevitability between violations of service and failure-factors. It is evidence of accountability in cloud service because compared with correlation, the causality shows more probative capability in evidentiary capability. This paper surveys the causality in recent research, including the features, patterns, and hypotheses of causality, and also the methods of discovery and analysis. Most research focuses on a single causal feature and the patterns of causality in typical violations, such as long tails, lack of resources, etc., and need to explore further the differences in causal patterns in different situations. At last, the results are proposed in this paper, including a taxonomy and some challenges in recent research, and an approach to causality analysis.

Citation Download Citation

Huang Liang, CuiPing Zhang, Fu Liao, ChengLing Huang, XiaoJian Li, MingZhi Huang, QinYue Su, and JunXian Fan "Causality between violations and failure factors in cloud service and its analysis methods: a survey", Proc. SPIE 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 127000V (26 May 2023); https://doi.org/10.1117/12.2682441

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