Research on a Distributed Processing Model Based on Kafka for Large-Scale Seismic Waveform Data

Research on a Distributed Processing Model Based on Kafka for Large-Scale Seismic Waveform Data

For storage and recovery requirements on large-scale seismic waveform data of the National Earthquake Data Backup Center (NEDBC), a distributed cluster processing model based on Kafka message queues is designed to optimize the inbound efficiency of seismic waveform data stored in HBase at NEDBC. Fir...

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Bibliographic Details
Main Authors: Xu-Chao Chai, Qing-Liang Wang, Wen-Sheng Chen, Wen-Qing Wang, Dan-Ning Wang, Yue Li
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
HBase
Kafka
key-value
spark streaming
seismic waveform data
Online Access:https://ieeexplore.ieee.org/document/9016008/

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