CAJ | 학술논문

在智能电网环境下，录波数据具有广域、全景、海量和可靠的特征，传统的存储硬件采用磁盘阵列，数据库管理软件采用关系数据库系统的方法由于系统扩展性差、成本高、可靠性低，难以适应要求。本文提出了一种基于Hadoop的录波数据分布式存储与访问的新方法，并将其与传统方法的访问速度进行了对比，证明了新方法的高效性。
재지능전망배경하，록파수거구유엄역、전경、해량화가고적특정，전통적존저경건채용자반진렬，수거고관리연건채용관계수거고계통적방법유우계통확전성차、성본고、가고성저，난이괄응요구。본문제출료일충기우Hadoop적록파수거분포식존저여방문적신방법，병장기여전통방법적방문속도진행료대비，증명료신방법적고효성。
In the smart grid,recorded date is wide,panoramic,reliable and mass. The old way is using ER database management system based on disk arrays, which leads the poor system scalability, high cost, and low reliability, those are all really hard to match the requirements. Compared the access speed with the traditional method, the method of the access and recorded data based on the Hadoop with distributed storages It is proposed more efficiently.