摘要
面对军事信息系统在大数据时代的海量数据分析及数据安全需求,传统的集中式处理平台已无法满足数据增长对存储和计算能力的要求,分布式处理平台应运而生。鉴于国产化软硬件在军事信息系统中的重要地位,大数据与国产化平台相结合成为军事信息系统发展的必然趋势。介绍了Hadoop架构的主要组成,分析了分布式计算框架和Hadoop分布式文件系统(HDFS)的实现机制,梳理了国产化软硬件发展状况,探讨了国产化分布式集群平台迁移技术,以期对大数据和国产化软硬件结合应用提供借鉴。
Aimed at the massive data analysis and the data security requirement of the military information systems in the big data ear,the traditional centralized processing platform cannot meet the massive data storage and computing requirements,so the distributed processing platform is appeared.In view of the importance of the domestic software and hardware in the military information systems,the combination of the big data and domestic platform is an inevitable trend.The major composition of Hadoop architecture is introduced,the distributed computing framework and the Hadoop distributed file system(HDFS)are analyzed,the processing status of the domestic software and hardware is reviewed,the domestic distributed cluster platform migration technology is explored,thus it can provide a reference to the combination of the big data and the domestic software and hardware.
出处
《指挥信息系统与技术》
2017年第4期33-37,共5页
Command Information System and Technology
关键词
HADOOP分布式文件系统
分布式计算框架
国产软硬件
Hadoop distributed file system(HDFS)
distributed computing framework
domestic software and hardware
