Preemptive resource scheduling strategy of cloud video based on Kubernetes

Qizheng Huo; Shaonan Li; Chengyang Li; Yongqiang Xie; Zhongbo Li

doi:10.1117/12.2671433

28 April 2023 Preemptive resource scheduling strategy of cloud video based on Kubernetes

Qizheng Huo, Shaonan Li, Chengyang Li, Yongqiang Xie, Zhongbo Li

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126102Q (2023) https://doi.org/10.1117/12.2671433
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

In the current cloud-native usage scenario, the default algorithm is single. When the cluster resources are insufficient, the service guarantee is generally achieved by the expansion of the cluster, and preemptive scheduling cannot be achieved during the scheduling process. Therefore, the original strategy cannot guarantee the operation of important services. Cloud video system provides video conference, online education, video office and other services. Cloud video consists of different pods like Nginx, MySQL, Tomcat, etc. This article sets pod priorities by dividing the categories of Cloud video Pods. Aiming at resource-constrained scenarios, the Preemptive resource scheduling strategy based on Cloud video Pod priority is proposed, and cluster experiments are carried out. Experiments show that the algorithm can effectively guarantee the operation of pods with high priority.

Citation Download Citation

Qizheng Huo, Shaonan Li, Chengyang Li, Yongqiang Xie, and Zhongbo Li "Preemptive resource scheduling strategy of cloud video based on Kubernetes", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126102Q (28 April 2023); https://doi.org/10.1117/12.2671433

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