摘要
通过分析研究地震行业目前数据处理与分析的现状,展望云计算技术在地震行业的应用前景。针对山东强震预警系统在研发与试验阶段,各子系统之间存在计算效率低、资源占用不均衡等问题,提出基于云端分布式计算技术的大数据分析处理平台体系架构。通过对软硬件资源进行统一管理,实现根据子系统资源需求的虚拟机智能部署方案,提高平台的高可用性及扩展性。实验结果表明,强震预警系统的计算效率及资源利用率得到有效的提高,平台体系架构得到初步应用。
By analysing and studying current situation of data processing and analysis in seismic industry,we prospected on the application of cloud computing technology in the industry. Aiming at the problems of Shandong strong earthquake early warning system during its RD and test stage in low computational efficiency and imbalance resource occupation between subsystems,we proposed the big data analysis and processing platform architecture,which is based on distributed cloud computing technology. Through uniformly managing the hardware and software resources,it achieves the intelligent virtual machine deployment scheme according to the resource demand of subsystems,and improves the high availability and scalability of the platform. Test results showed that the computing efficiency and resource utilisation rate of strong earthquake early warning system has been raised effectively. The platform architecture has been put into preliminary application.
出处
《计算机应用与软件》
CSCD
2016年第5期1-3,27,共4页
Computer Applications and Software
基金
"十二五"国家科技支撑计划课题(2012BAK19B04)
关键词
私有云
体系架构
资源调度
强震预警系统
Private cloud
System architecture
Resource scheduling
Strong earthquake early warning system
