CAJ | 학술논문

介绍了批量录波数据的特点及产生原因，分析了现有应对措施及存在不足，并提出基于Hadoop虚拟化和分布式技术改善和优化主站性能的方法，采用通信服务矩阵替代原双重化模式下单一服务器来承载批量数据处理任务，保证了主站系统整体负载平衡，有效降低了CPU负荷率。
개소료비량록파수거적특점급산생원인，분석료현유응대조시급존재불족，병제출기우Hadoop허의화화분포식기술개선화우화주참성능적방법，채용통신복무구진체대원쌍중화모식하단일복무기래승재비량수거처리임무，보증료주참계통정체부재평형，유효강저료CPU부하솔。
This paper describes the characteristics and causes of batch wave recording data, analyses the existing treatments and shortcomings, proposes Hadoop-based virtualized and distributed technologies to improve and optimize the performance of Main Sta-tion System, which adopts communications service matrix to replace the originally single server mode to Carry batch data processing tasks, in order to ensure a integral load balance of the main station system, effectively reduce the CPU load rate.