Predicting CPU usage for proactive autoscaling-Reference-Cited by-同舟云学术

Predicting CPU usage for proactive autoscaling

Published:2021-04-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st Workshop on Machine Learning and Systems
language:
Short-container-title:

Author:

Wang Thomas¹,Ferlin Simone¹,Chiesa Marco²

Affiliation:

1. Ericsson AB

2. EECS and Digital Futures KTH Royal Institute of Technology

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3437984.3458831

Reference21 articles.

1. 2018. Alibaba Inc. 2018. Alibaba Open Cluster Trace. https://github.com/alibaba/clusterdata. 2018. Alibaba Inc. 2018. Alibaba Open Cluster Trace. https://github.com/alibaba/clusterdata.

2. 2018. KEP: in-place update of pod resources #686. https://github.com/kubernetes/enhancements/pull/686# 2018. KEP: in-place update of pod resources #686. https://github.com/kubernetes/enhancements/pull/686#

3. 2020. NGINX Web Server (GitHub). https://github.com/nginx/nginx 2020. NGINX Web Server (GitHub). https://github.com/nginx/nginx

4. 2020. Slowcooker project (GitHub). https://github.com/BuoyantIO/slow_cooker 2020. Slowcooker project (GitHub). https://github.com/BuoyantIO/slow_cooker

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