[1]朱铨.云平台动态弹性扩展关键技术研究[J].福建工程学院学报,2016,14(01):71-75.[doi:10.3969/j.issn.1672-4348.2016.01.016]
　Zhu Quan.Research on the key technology of dynamic elastic expansion for cloud platform[J].Journal of FuJian University of Technology,2016,14(01):71-75.[doi:10.3969/j.issn.1672-4348.2016.01.016]
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云平台动态弹性扩展关键技术研究()
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《福建工程学院学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第14卷
期数:
2016年01期
页码:
71-75
栏目:
出版日期:
2016-02-25

文章信息/Info

Title:
Research on the key technology of dynamic elastic expansion for cloud platform
作者:
朱铨
福建工程学院福建省大数据挖掘与应用技术重点实验室
Author(s):
Zhu Quan
Fujian Provincial Key Laboratory of Big Data Mining and Applications， Fujan University of Technology
关键词:
云计算;  交通信息化;  动态弹性扩展;  资源调度
Keywords:
cloud computing;  traffic informationization;  dynamic elastic expansion;  resource scheduling
分类号:
TP393.03
DOI:
10.3969/j.issn.1672-4348.2016.01.016
文献标志码:
A
摘要:
根据实时交通大数据处理的具体需求，提出实时交通大数据处理云平台的逻辑体系结构，分别从IaaS层、中间件层以及应用层探讨实现云平台动态弹性扩展的关键技术以及仍有待解决的关键问题。并搭建实时交通大数据处理云平台的原型系统，提出实时交通大数据处理云平台资源调度策略。实验结果表明云平台的动态弹性扩展特性可满足实时交通大数据处理的性能需求。
Abstract:
A logical architecture for traffic big data real-time processing cloud platform was proposed. The key technology and key issues remain to be solved for the elastic extension mechanism of the IaaS layer, intermediate layer and the application layer were focused. A prototype for the traffic big data realtime processing cloud platform was constructed. The resource scheduling strategy for the cloud platform was presented. The experimental results show that the dynamic elastic extension properties of the cloud platform can meet the performance requirements of traffic big data real-time processing.

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更新日期/Last Update: 2016-02-25