Smart-Kube: Energy-Aware and Fair Kubernetes Job Scheduler Using Deep Reinforcement Learning-Reference-Cited by-同舟云学术

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Smart-Kube: Energy-Aware and Fair Kubernetes Job Scheduler Using Deep Reinforcement Learning

Published:2023-09-16 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 8th International Conference on Smart Cloud (SmartCloud)
language:
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Author:

Ghafouri Saeid¹,Abdipoor Sina²,Doyle Joseph¹

Affiliation:

1. School of Electronic Engineering and Computer Science, Queen Mary University of London,London,United Kingdom

2. Universiti Putra Malaysia,Department of Computer Science,Serdang,Malaysia,43400 UPM

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10348962/10349089/10349157.pdf?arnumber=10349157

Reference29 articles.

1. RLSK: A Job Scheduler for Federated Kubernetes Clusters based on Reinforcement Learning

2. Dominant resource fairness: Fair allocation of multiple resource types;Ghodsi;Nsdi,2011

3. Adaptive Resource Provisioning for the Cloud Using Online Bin Packing

4. Multi-resource packing for cluster schedulers

5. A genetic algorithm for the Flexible Job-shop Scheduling Problem

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