A heuristic multi-objective task scheduling framework for container-based clouds via actor-critic reinforcement learning
Author:
Funder
The Strategic Priority Research Program of the Chinese Academy of Sciences
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08208-6.pdf
Reference37 articles.
1. Xie XL, Wang Q (2020) A scheduling algorithm based on multi-objective container cloud task. J Shandong Univ (Eng Sci) 50(04):14–21
2. Bian JF (2017) Docker-based application container cluster management system. Shandong University, Jinan
3. He Z (2020) Novel container cloud elastic scaling strategy based on Kubernetes. In: 2020 IEEE 5th information technology and mechatronics engineering conference (ITOEC), pp 1400–1404. https://doi.org/10.1109/ITOEC49072.2020.9141552
4. Pahl C, Brogi A, Soldani J (2019) Cloud container technologies: a state-of-the-art review. IEEE Trans Cloud Comput 7(3):677–692. https://doi.org/10.1109/TCC.2017.2702586
5. Avinab M, Wang Y, Zhang F et al (2018) Energy-aware fault-tolerant dynamic task scheduling scheme for virtualized cloud data centers. Mobile Netw Appl. https://doi.org/10.1007/s11036-018-1062-7
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