StreamAD: A cloud platform metrics-oriented benchmark for unsupervised online anomaly detection

Author:

Xu Jiahui,Lin Chengxiang,Liu FengruiORCID,Wang YangORCID,Xiong Wei,Li Zhenyu,Guan Hongtao,Xie Gaogang

Publisher

Elsevier BV

Reference48 articles.

1. An overview of Google cloud platform services;Bisong,2019

2. Time-series anomaly detection service at microsoft;Ren,2019

3. Time series anomaly detection; Detection of anomalous drops with limited features and sparse examples in noisy highly periodic data;Shipmon,2017

4. Non-intrusive anomaly detection with streaming performance metrics and logs for DevOps in public clouds: A case study in AWS;Sun;IEEE Trans. Emerg. Top. Comput.,2016

5. RobustTAD: Robust time series anomaly detection via decomposition and convolutional neural networks;Gao,2021

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