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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。
Faced with the massive data analysis and data security needs of the military information system in the era of big data, the traditional centralized processing platform has been unable to meet the data storage and computing requirements for data growth. The distributed processing platform has emerged. Given the importance of domestic hardware and software in the military information system, the integration of big data with the localization platform has become an inevitable trend in the development of military information systems. This paper introduces the main components of Hadoop architecture, analyzes the implementation mechanism of distributed computing framework and Hadoop distributed file system (HDFS), combs the development of domestic software and hardware, discusses the localization of distributed cluster platform migration technology, with a view to large Data and localization of software and hardware to provide reference.