[1]邱 亚,颜金尧,陈 宇,等.开源云计算资源调度策略优化研究[J].计算机技术与发展,2023,33(06):8-15.[doi:10. 3969 / j. issn. 1673-629X. 2023. 06. 002]
　QIU Ya,YAN Jin-yao,CHEN Yu,et al.Research on Optimization of Resource Scheduling in Open Source Cloud Computing[J].,2023,33(06):8-15.[doi:10. 3969 / j. issn. 1673-629X. 2023. 06. 002]

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开源云计算资源调度策略优化研究()

分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:

33

期数:

2023年06期

页码:

8-15

栏目:

大数据与云计算

出版日期:

2023-06-10

文章信息/Info

Title:

Research on Optimization of Resource Scheduling in Open Source Cloud Computing

文章编号:

1673-629X(2023)06-0008-08

作者:

邱 亚¹ ; 颜金尧² ; 陈 宇¹ ; 耿俊杰²

1. 中央广播电视总台 技术局,北京 100020;

2. 中国传媒大学 媒体融合与传播国家重点实验室,北京 100024

Author(s):

QIU Ya1 ; YAN Jin-yao2 ; CHEN Yu1 ; GENG Jun-jie2

1. Technology Bureau,China Media Group,Beijing 100020,China;

2. State Key Laboratory of Media Convergence and Communication,Communication University of China,Beijing 100024,China

关键词:

云计算; OpenStack; 虚拟机调度; 负载均衡; 资源利用率

Keywords:

cloud computing; OpenStack; virtual machine scheduling; load balancing; resource utilization

分类号:

TP393. 0

DOI:

10. 3969 / j. issn. 1673-629X. 2023. 06. 002

摘要:

云计算技术是互联网服务模式的一种产物,具有大规模、可扩展、通用性强、可靠性高等特点。 针对 OpenStack 云平台虚拟机调度管理机制进行研究,围绕虚拟机初始分配及运行阶段的资源调度策略存在的问题,对 OpenStack 云平台虚拟机调度管理策略进行了改进,以提高云计算平台资源利用率,改善物理主机负载均衡,进而保障用户云服务质量。 该文优化了计算节点主机过滤机制,

同时提出虚拟机运行阶段的动态迁移机制以及待迁移虚拟机的选择机制,保证了虚拟机初始分配的合理性以及运行阶段各计算节点物理主机的负载均衡。 使用云计算仿真平台 CloudSim 对提出的优化策略进行了仿真。 实验表明提出的虚拟机调度优化策略作用显著,实现了物理主机的负载均衡、提高了资源利用率,改善了平台服务质量。

Abstract:

Cloud computing technology is a product of the Internet service model,which has the characteristics of large scale,scalability,strong versatility and high reliability. We study the virtual?

machine scheduling management mechanism of the OpenStack cloud platform.In view of the problems existing in the initial allocation of virtual machines and the resource scheduling?

strategy in the running phase,thevirtual machine scheduling management strategy of the OpenStack cloud platform is improved to improve the resource utilization rate ofthe cloud?

computing platform,　improve the load balancing of physical hosts,and thus ensure the quality of cloud services for users. Weoptimize the computing node host filtering mechanism and propose a dynamic migration mechanism during the running phase of thevirtual machine and a selection mechanism for the virtual machine to be migrated,which ensures the rationality?

of the initial allocation ofvirtual machines and the load balance of the physical hosts of each computing node during the running phase. We use the cloudcomputing simulation platform

?( CloudSim) to simulate the proposed optimization strategy. Experiments show that the virtual machinescheduling optimization strategy proposed has a significant effect, realizes the load balancing of physical hosts, improves resourceutilization,and improves platform service quality.

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