A cloud-native framework for seismic waveform data quality assessment: Performance evaluation under equivalent resource constraints
The rapid growth of seismic waveform data requires efficient and elastic processing, but virtual-machine-based architectures often tie workload execution to coarse resource units and rigid scaling policies. To address these limitations, we propose a Kubernetes- and Docker-based cloud-native framework for real-time seis...