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

Huang Liang, Cuiping Zhang, Fu Liao, Cheng-Zhuan Huang, Xiaojian Li, Mingzhi Huang, QinYue Su, Junxian Fan
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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.
云服务中违规与失效因素的因果关系及其分析方法研究
因果关系是指违反服务规定与失效因素之间的必然关系。在云服务中,因果关系是责任的证据,因为与相关性相比,因果关系在证据能力中表现出更强的证明能力。本文综述了近年来关于因果关系的研究,包括因果关系的特征、模式、假设以及因果关系的发现和分析方法。大多数研究集中在单一的因果特征和典型违规的因果模式上,如长尾、缺乏资源等,需要进一步探索不同情况下因果模式的差异。最后,提出了本文的研究成果,包括分类和近期研究的一些挑战,以及因果分析的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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