Cross-Correlation for Streaming Seismic Time Series to Detect Events using Parallel and Real-time Methods
Zeinab Akhavan, Mona Esmaeili, Michael Devetsikiotis, Payman Zarkesh-Ha · 2022 IEEE 13th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) · 2022
The design of real-time systems is becoming increasingly important. Such systems must process the input and provide the output in a timely fashion. Therefore, the tasks must be carefully scheduled and executed on the processor(s). A good example of a system that requires real-time action is the earthquake warning system because it is critical that the system instantly examines the events happening. In such case, no disaster will happen if the system’s response is in real-time. This paper describes real-time methods of seismic event detection and how to identify the correlation between seismic time-series in order to find the events' source and study the seismicity in New Mexico, USA using Spark Streaming framework.