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CloudDet: Interactive Visual Analysis of Anomalous Performances in Cloud Computing Systems
[article]
2019
arXiv
pre-print
Detecting and analyzing potential anomalous performances in cloud computing systems is essential for avoiding losses to customers and ensuring the efficient operation of the systems. To this end, a variety of automated techniques have been developed to identify anomalies in cloud computing performance. These techniques are usually adopted to track the performance metrics of the system (e.g., CPU, memory, and disk I/O), represented by a multivariate time series. However, given the complex
arXiv:1907.13187v1
fatcat:fai2vqpxrfdb7gahlovxiwivsi