首页|基于K8S插件的容器集群资源自动弹性伸缩技术优化研究

基于K8S插件的容器集群资源自动弹性伸缩技术优化研究

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为了提高容器集群资源自动伸缩技术的资源配置效率,研究提出利用K8S插件和改进负载均衡算法对该技术进行优化.对改进负载均衡算法进行对比实验,结果显示,该算法的最终完成时间和吞吐率分别为 32.3 s和 76.3%;显著高于对比算法.随后在不同弹性伸缩技术的实证分析发现,研究提出的新型弹性伸缩技术的容器响应时间和业务响应时间分别为106.3 ms和 177.7 ms,优于对比技术.以上结果表明,研究提出的容器集群资源自动弹性伸缩技术的整体性能相较于优化前得到了极大提升.故该技术的应用为云计算领域的发展提供了新的思路.
Optimization of automatic elastic scaling technology of container cluster resources based on K8S plug-in
In order to improve the resource allocation efficiency of container cluster resource auto-scaling technology,K8S plug-in and improved load balancing algorithm were used to optimize the technology.The experimental results show that the final comple-tion time and throughput are 32.3s and 76.3%,respectively.Significantly higher than the comparison algorithm.Subsequent empirical analysis of different elastic scaling technologies shows that the container response time and service response time of the proposed new elastic scaling technology are 106.3ms and 177.7ms respectively,which is superior to the comparison technology.The above results show that the overall performance of the proposed automatic elastic scaling technique for container cluster resources is greatly improved compared with that before optimization.Therefore,the application of this technology provides a new idea for the development of cloud computing.

K8Selastic expansioncontainer clusterload balancing algorithm

董爱强、胡波、胡学勇、刘旭、戴发玉

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北京中电普华信息技术有限公司,北京 100192

四川中电启明星信息技术有限公司,成都 610041

K8S 弹性伸缩 容器集群 负载均衡算法

2024

自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
年,卷(期):2024.(11)