摘要
本文为了解基于云计算技术的企业现场生产运营环境中数据处理的需求,精心构建了一个高度仿真的数据管理系统设计。在这个系统中,本文细致地定义了各项数据参数,确保它们能够真实地反映出现实生产中的数据特征。同时,为了准确评估系统的性能,本研究还设定了一系列关键的性能指标,这些指标不仅涵盖数据处理速度、准确率等传统项目,还包括资源利用率、系统稳定性等更为全面的考量维度。研究人员进行了一系列实验,逐一测试并记录了系统的响应时间和处理效率。此外,本文还考察了不同类型的工作负载对系统性能的影响,包括但不限于批处理任务、实时数据流处理等,以期揭示系统在各种应用场景下的表现。
In order to understand the data processing requirements in enterprise on-site production and operation environments based on cloud computing technology,this study carefully constructed a highly simulated data management system design.In this system,this article meticulously defines various data parameters to ensure that they can truly reflect the data characteristics present in actual production.At the same time,in order to accurately evaluate the performance of the system,a series of key performance indicators have been set,which not only cover traditional items such as data processing speed and accuracy,but also include more comprehensive dimensions such as resource utilization and system stability.A series of experiments were conducted,the response time and processing efficiency of the system were tested and recorded one by one.In addition,this article also examines the impact of different types of workloads on system performance,including but not limited to batch tasks,real-time data stream processing,etc.,in order to reveal the performance of the system in various application scenarios.
作者
宫晓静
GONG Xiaojing(Shandong Engineering Vocational and Technical University,Jinan Shandong 250200,China)
出处
《信息与电脑》
2024年第8期149-151,共3页
Information & Computer
关键词
云计算技术
企业现场生产运营
数据管理系统设计
系统性能
cloud computing technology
on site production and operation of enterprises
design of data management system
system performance
