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.
KEYWORDS: Clouds, Data modeling, Error control coding, Education and training, Machine learning, Mining, Feature extraction, Failure analysis, Prior knowledge, Commercial off the shelf technology
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.
Failure correlation is a necessary condition for source trace and violations determination in accountability of cloud services. This paper surveys the failure correlation. Most studies were involved in the correlation between services violation and failure factors only. However, an understanding of the correlation between the factors, the integrality of the factors is ambiguous and even few involve the correlation patterns of specific violations. Above all, the taxonomy of the failure factors, the methods of structure representation and analysis, some problems of recent research and suggestions are proposed in our paper.
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