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Received:February 20, 2014 Revised:March 24, 2014
Received:February 20, 2014 Revised:March 24, 2014
中文摘要: 现有的云计算资源调度策略没有考虑资源池的总体资源需求,造成了资源的损耗,影响虚拟机的正常运行. 提出了一种基于资源监控统计的云计算主动调度方法,充分考虑资源池的总体资源需求情况,引入监控数据采集模块和监控数据分析模块,同时加入监控数据库作为系统的基础,定制一套适用于资源调度的虚拟机监控数据统计和分析的方法,使得基于监控统计数据的虚拟机调度方法可以轻松实现.
Abstract:The existing cloud computing resource scheduling strategy did not consider the overall requirements of resource pool resource requirements, causing the loss of resource and affecting the normal operation of the virtual machine. This paper presents a cloud computing active scheduling method based on the resource monitoring statistics, giving full consideration to overall resource demand of resource pool. It introduces monitoring data acquisition module and the monitoring data analysis module which adds the monitor database as the foundation of the system. We customizes a set of monitoring data statistics and analysis the method for resource scheduling based on the virtual machine, making the virtual machine scheduling method based on the monitoring data can be easily realized.
文章编号: 中图分类号: 文献标志码:
基金项目:
Author Name | Affiliation |
XIAO Jian-Ming | China Mobile Group, Guangdong Co., Ltd. Southern Base, Guangzhou 510640, China |
WANG Bo | China Mobile Group, Guangdong Co., Ltd. Southern Base, Guangzhou 510640, China |
Author Name | Affiliation |
XIAO Jian-Ming | China Mobile Group, Guangdong Co., Ltd. Southern Base, Guangzhou 510640, China |
WANG Bo | China Mobile Group, Guangdong Co., Ltd. Southern Base, Guangzhou 510640, China |
引用文本:
肖建明,王波.基于资源监控统计的云计算主动调度方法.计算机系统应用,2014,23(10):69-72
XIAO Jian-Ming,WANG Bo.Cloud Computing Active Scheduling Method Based on Resource Monitoring Statistics.COMPUTER SYSTEMS APPLICATIONS,2014,23(10):69-72
肖建明,王波.基于资源监控统计的云计算主动调度方法.计算机系统应用,2014,23(10):69-72
XIAO Jian-Ming,WANG Bo.Cloud Computing Active Scheduling Method Based on Resource Monitoring Statistics.COMPUTER SYSTEMS APPLICATIONS,2014,23(10):69-72