Batch and online anomaly detection for scientific applications in a Kubernetes environment-Reference-Cited by-同舟云学术

Batch and online anomaly detection for scientific applications in a Kubernetes environment

Published:2018-06-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 9th Workshop on Scientific Cloud Computing
language:
Short-container-title:

Author:

Hariri Sahand¹,Kind Matias Carrasco²

Affiliation:

1. University of Illinois at Urbana-Champaign

2. National Center for Supercomputing Applications

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3217880.3217883

Reference15 articles.

1. 2018. Jupyter Lab. 2018. Jupyter Lab.

2. Containers and Cloud: From LXC to Docker to Kubernetes

3. Varun Chandola Arindam Banerjee and Vipin Kumar. 2009. Anomaly detection: A survey. ACM computing surveys (CSUR) 41 3 (2009) 15. 10.1145/1541880.1541882 Varun Chandola Arindam Banerjee and Vipin Kumar. 2009. Anomaly detection: A survey. ACM computing surveys (CSUR) 41 3 (2009) 15. 10.1145/1541880.1541882

4. MapReduce

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