计算机科学 ›› 2020, Vol. 47 ›› Issue (11A): 504-507.doi: 10.11896/jsjkx.191000086
赵鑫1,2, 马再超1,2, 刘英博1,2, 丁雨亭1,2, 魏慕恒3
ZHAO Xin1,2, MA Zai-chao1,2, LIU Ying-bo1,2, DING Yu-ting1,2, WEI Mu-heng3
摘要： 针对传统单机版批处理式的快速傅里叶变换(Fast Fourier Transform,FFT)难以满足工业生产现场海量流数据实时处理的需求,提出一种基于Apache Storm的增量式FFT方法。该方法设计了非递归FFT的流式计算逻辑,并实现于Apache Storm。基于清华数为框架(DataWay Framework,DWF),采用Bently转子实验台的不对中故障流数据,构建了转子合成轴心轨迹的可视化监测界面,结果表明该方法能实时更新流数据频谱。
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| [1] | 张洲, 黄国锐, 金培权. 基于Storm的任务调度:现状与研究展望 Task Scheduling on Storm:Current Situations and Research Prospects 计算机科学, 2019, 46(9): 28-35. https://doi.org/10.11896/j.issn.1002-137X.2019.09.004 |
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