3:30 PM - 3:45 PM
[MAG35-07] The Big Data Repository at the IRIS Data Management Center: Developing Standards for Services and Federated Access for Globally Distributed Data Centers
Keywords:Seismology, Web Services, Federation, Quality Assurance
IRIS currently operates a large analytics engine that automatically assesses quality of data from seismic observatories. This "Big Data" problem has resulted in a powerful system that will enable researchers to receive data that have been filtered by their quality in addition to the specification of space-time constraints. As the volume of data increases in the expanding federated system of seismological data centers, IRIS is also developing a system called Research Ready Data Sets (RRDS) that will allow a users data request to be filtered by their quality as measured by the quality assurance system at the DMC that is now fully operational.
IRIS is currently testing the concept of operating its data center infrastructure in both High Performance Computing (HPC) as well as Cloud Computing environments with the ultimate goal of this project to identify an appropriate environment in which to run a data center.
This presentation will describe several aspects of current IRIS DMC systems, how web services have totally changed our ability to service huge numbers of user requests, how have adopted new access mechanisms, and how quality assurance systems are now being used to improve seismic network performance as well new tools being developed that will make scientific researchers more efficient in conducting their research.