云计算环境下虚拟机资源均衡调度方法研究

doi:10.3969/j.issn.1000-0801.2013.04.016

Abstract

Abstract:

As one kind of the main resources of cloud computing，virtual resource sustains sorts of cloud services，and an effective resource scheduling mechanism helps to balance the load and improve the resource utility rate.Focusing on virtual resource of cloud，a resource scheduling mechanism to achieve load balancing was proposed.Triggered by an incoming job，the scheduler checked the instant state of resource pool first，and then took interrelated strategies.

Key words: cloud computing, cloud services pool, virtual machine, resource scheduling

Jihan Li,Sufen Li,Yunyong Zhang,Bingyi Fang. Research on the Resources Scheduling Method of Virtual Machines Under the Cloud Computing Environments[J]. Telecommunications Science, 2013, 29(4): 78-82.

符号	意义及说明
I	云服务资源池中的物理服务器编号，i=1，2，3，…，I，I是正整数
J_i	物理服务器i上虚拟机的编号，J_i=1，2，3，…，J_i，J_i 是正整数，i=1，2，3，…，I
PS_i	物理服务器
S_i，j	运行在物理服务器PS_i上、编号为J_i的虚拟机
pN_i，j	每个虚拟机可同时并行运行的最大任务数，pN_i，j＞0，是正整数
pn_i，j	虚拟机S_i，j上当前正在运行的任务数，pn_i，j≥0，是正整数
PMRate_i	物理服务器PS_i的利用率
queue_i，j	当前虚拟机S_i，j的任务排队数量，是正整数
t_i，j	虚拟机S_i，j运行完一个任务所需要的时间，t_i，j＞0
wt_i，j	虚拟机S_i，j的资源等待时间
st_i，j	虚拟机S_i，j上进度最快的任务的执行进度，st_i，j∈（0，1）
TN	当前到达云服务资源池的新任务数

当前需求	TN=1	TN=5	TN=20	TN=50
μ₁	0.62	0.58	0.67	0.71
μ₂	0.62	0.65	0.73	0.82
σ₁	0.051	0.049	0.042	0.039
σ₂	0.051	0.043	0.037	0.030

1	童晓渝，张云勇，房秉毅等. 电信运营商实施云计算的策略建议. 信息通信技术， 2012（1）
2	袁文成，朱怡安，陆伟 . 面向虚拟资源的云计算资源管理机制. 西北工业大学学报， 2010，28（5）
3	田文洪，赵勇 . 云计算——资源调度管理. 北京：国防工业出版社， 2011
4	孙鑫 . 面向云环境数据中心的高效资源调度机制研究. 北京邮电大学博士学位论文， 2012
5	庄威，桂小林，林建材等. 云环境下基于多属性层次分析的虚拟机部署与调度策略. 西安交通大学学报， 2013（2）
6	尹红军，李京，宋滁等. 云计算中运营商效益最优的资源分配机制. 华中科技大学学报（自然科学版）， 2011（S1）

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Research on the Resources Scheduling Method of Virtual Machines Under the Cloud Computing Environments

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