Designing a Subscription Service for Earthquake Big Data Analysis from Multiple Sources

The unpredictable nature of earthquakes has been a challenge for many researchers for a long time. Earthquakes take place suddenly and quickly, leaving scientists little time to prepare for it. This is due to the inescapable realization of the fact that much information can be deciphered from the huge volume of data being generated from numerous heterogeneous sources by the second. This paper investigates the acquisition of earthquake data, processing of such data and making it available to subscribers who need information generated from a Big Data analysis process. It uses FIWARE Big Data Generic Enabler and relies on the Message Broker GE to notify subscribers. Finally, we present a prototype for a worldwide Earthquake seismic activity monitoring.