基于大数据技术的企业信息资源管理系统

Enterprise information resource management system based on big data technology

企业信息资源管理系统面对大规模和多类型数据涌入时,处理效率低,系统容易崩溃,设计基于大数据技术的企业信息资源管理系统。分析Hadoop平台体系结构,确定资源管理系统整体架构,设计每个子系统对应的功能,部署系统硬件环境;利用大数据融合技术设置软件执行算法,通过模糊调度挖掘资源间关联规则,根据相似性函数,建立同类资源的融合模型,提高业务处理效率,完成系统整体设计。实验表明,该系统的CPU利用率仅在30%左右,处理时间在1.00s以内,大大缩短了处理时间,提高了处理效率。

When the enterprise information resource management system faces the influx of large-scale and multi-type data,the processing efficiency is low,and the system is prone to collapse,therefore,an enterprise information resource management system based on big data technology is designed.The Hadoop platform architecture is analyzed to determine the overall architecture of the resource management system,the corresponding functions of each subsystem is designed,and the system hardware environment is deployed.The big data fusion technology is used to set up the software execution algorithm and mine the association rules between resources through fuzzy scheduling.Meanwhile,the fusion model of similar resources is established according to the similarity function to improve the business processing efficiency and complete the overall design of the system.The experiment results show that the CPU utilization of the system is only about 30%,and the processing time is less than 1.00s,which greatly reduces the processing time and improves the processing efficiency.