摘要
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。
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 completion 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.
作者
董爱强
胡波
胡学勇
刘旭
戴发玉
DONG Aiqiang;HU Bo;HU Xueyong;LIU Xu;DAI Fayu(Beijing China-Power Information Technology Co.,Ltd.,Beijing 100192,China;Aostar Information Technologies Co.,Ltd.,Chengdu 610041,China)
出处
《自动化与仪器仪表》
2024年第11期198-202,共5页
Automation & Instrumentation
基金
国网信息通信产业集团有限公司科技创新项目,电力数字化基础平台及关键组件研发(重点专项)《面向能源行业的自主可控“思极云”平台关键技术研究与应用》(5468B1230001)。
关键词
K8S
弹性伸缩
容器集群
负载均衡算法
K8S
elastic expansion
container cluster
load balancing algorithm
作者简介
董爱强(1979-),男,河北沧县人,硕士,高级工程师,主要研究方向为人工智能、云计算、信息技术应用创新。
