摘要
为充分发挥计算机应用技术在大数据环境中的应用价值,文中围绕信息安全技术、智能图像识别技术、虚拟现实技术、储存技术、采集技术等关键领域展开,以LRFU调度策略、LIRS调度策略、RDF数据索引与存储策略为例,分析了在处理大规模数据集时的高效管理与优化数据处理流程。结果表明,采用先进的计算机应用技术与数据处理策略,可提高数据处理的安全性与高效性,以期充分发挥计算机应用技术优势,实现信息安全高效管理目标。
In order to give full play to the application value of computer application technology in big data environment,this paper around information security technology,intelligent image recognition technology,virtual reality technology,storage technology,acquisition technology and other key areas,with LRFU scheduling strategy,LIRS scheduling strategy,RDF data index and storage strategy as an example,analysis in the processing of large-scale data set efficient management and optimization of data processing process.The results show that the advanced computer application technology and data processing strategy can improve the security and efficiency of data processing,in order to give full play to the advantages of computer application technology and achieve the goal of information security and efficient management.
作者
张秋会
ZHANG Qiuhui(Sichuan Top IT Vocational Institute,Chengdu 611743,China)
出处
《移动信息》
2024年第8期313-315,共3页
MOBILE INFORMATION
关键词
大数据环境
计算机应用技术
储存技术
Big data environment
Computer application technology
Storage technology