[1]孟蒙,茅苏. 基于云计算的可反馈负载均衡策略的研究[J].计算机技术与发展,2014,24(10):135-139.
　MENG Meng,MAO Su. Study on Feedback Load Balancing Strategy Based on Cloud Computing[J].,2014,24(10):135-139.
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 基于云计算的可反馈负载均衡策略的研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年10期
页码:
135-139
栏目:
智能、算法、系统工程
出版日期:
2014-10-10

文章信息/Info

Title:
 Study on Feedback Load Balancing Strategy Based on Cloud Computing
文章编号:
1673-629X（2014）10-0135-05
作者:
 孟蒙; 茅苏
 南京邮电大学 计算机学院；江苏省无线传感网高技术研究重点实验室；宽带无线通信与传感网技术教育部重点实验室
Author(s):
 MENG Meng; MAO Su
关键词:
 ; 负载均衡; 云计算; 虚拟机; 资源利用率; CloudSim
Keywords:
 ; load balancing; cloud computing; virtual machines; resource utilization; CloudSim
分类号:
TP301
文献标志码:
A
摘要:
 现有负载均衡算法存在仅考虑单一云环境资源利用率情况或缺少云环境多维资源负载监控机制问题。文中基于现有的云环境中的负载均衡技术，量化了云环境中多种资源的使用情况，定义了云计算中不同的负载均衡类型，提出了一种可反馈的负载均衡策略及双监控器策略，均衡负载，避免反复创建、释放虚拟机导致时间、资源、性能的损耗，从而提高资源的利用率。 CloudSim仿真实验结果显示，文中提出的可反馈的负载均衡监控机制，能够更有效地监控资源使用情况以及提高资源的利用率。
Abstract:
 Existing load balancing algorithm has considered a single cloud resource utilization only or a lack of cloud environments multi-dimensional load monitoring mechanism. Based on existing load balancing technology in cloud computing environment,quantify the use of a variety of resources,define different types of load balancing in cloud computing,present a new feedback load balancing strategy and dual monitor strategy,which is for balance load,avoiding repeated creating and releasing the virtual machine to result in loss of time,re-sources,performance,improving resource utilization. The CloudSim simulation results show that the feedback load balancing strategy can more effectively monitor the use of resources and improve resource utilization.

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更新日期/Last Update: 2015-04-02