APPLIED ASPECTS OF COMPUTER SCIENCE

Models, algorithms and a cloud service for state diagnosis of the natural seismic generators

R. Y. Zamaraev, S. E. Popov

Institute of Computational Technologies, Siberian Branch of the Russian Academy of Sciences, Novosibirsk

Abstract: The paper presents mathematical models, algorithms and software implementation for the diagnosis of changes in the natural seismic generators in the set of high-energy events. Models of seismic signals based on the information entropy are used as a strong properties specifications for the "waveguide" from source to the seismograph. The observed qualitative differences between models are suggested as changes in the generator state. Software implementation of algorithms based on the cloud computing Google App Engine within integration with IRIS Data Management Center Web services is presented.

Keywords: seismic generator, kinds of state, seismological signals, models, diagnosis, cloud service.