Proactive autoscaling for edge computing systems with kubernetes-Reference-Cited by-同舟云学术

Proactive autoscaling for edge computing systems with kubernetes

Published:2021-12-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion
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Author:

Ju Li¹,Singh Prashant¹,Toor Salman¹

Affiliation:

1. Uppsala University, Uppsala, Sweden

Funder

Swedish National Infrastructure for Computing

Swedish Foundation for Strategic Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3492323.3495588

Reference22 articles.

1. Muhammad Abdullah , Waheed Iqbal , Arif Mahmood , Faisal Bukhari , and Abdelkarim Erradi . 2020. Predictive autoscaling of microservices hosted in fog microdata center . IEEE Systems Journal ( 2020 ). Muhammad Abdullah, Waheed Iqbal, Arif Mahmood, Faisal Bukhari, and Abdelkarim Erradi. 2020. Predictive autoscaling of microservices hosted in fog microdata center. IEEE Systems Journal (2020).

2. Abien Fred Agarap . 2018. Deep learning using rectified linear units (relu). arXiv preprint arXiv:1803.08375 ( 2018 ). Abien Fred Agarap. 2018. Deep learning using rectified linear units (relu). arXiv preprint arXiv:1803.08375 (2018).

3. Impact of CPU Utilization Thresholds and Scaling Size on Autoscaling Cloud Resources

4. Cloud Computing and its role in the Information Technology

5. Anonymous. 2021. kube-prometheus-stack. https://github.com/prometheus-community/helm-charts/tree/main/charts/kube-prometheus-stack Anonymous. 2021. kube-prometheus-stack. https://github.com/prometheus-community/helm-charts/tree/main/charts/kube-prometheus-stack

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