Oren E. Livne

Adaptive Smoothed Aggregation in Lattice QCD

1 Department of Applied Mathematics, University of Colorado at Boulder, Email: brannick@newton.colorado.edu, mbrezina@math.cudenver.edu, maclachl@colorado.edu, tmanteuf@colorado.edu, stevem@colorado.edu, jruge@colorado.edu 2 Department of Mathematical Sciences, Ball State University, Email: ilivshits@bsu.edu 3 Department of Applied Physics and Applied Mathematics, Columbia University, Email: david.keyes@columbia.edu 4 Department of Mathematics, The Pennsylvania State University, Email: ludmil@psu.edu 5 SCI Institute, University of Utah, Email: livne@sci.utah.edu

Federated Querying Architecture with Clinical & Translational Health IT Application

We present a software architecture that federates data from multiple heterogeneous health informatics data sources owned by multiple organizations. The architecture builds upon state-of-the-art open-source Java and XML frameworks in innovative ways. It consists of (a) federated query engine, which manages federated queries and result set aggregation via a patient identification service; and (b) data source facades, which translate the physical data models into a common model on-the-fly and handle large result set streaming. System modules are connected via reusable Apache Camel integration routes and deployed to an OSGi enterprise service bus. We present an application of our architecture that allows users to construct queries via the i2b2 web front-end, and federates patient data from the University of Utah Enterprise Data Warehouse and the Utah Population database. Our system can be easily adopted, extended and integrated with existing SOA Healthcare and HL7 frameworks such as i2b2 and caGrid.

Federated querying architecture for clinical & translational health IT

We present software architecture to federate data from multiple heterogeneous health informatics data sources owned by multiple organizations. The architecture builds upon state-of-the-art open-source Java and XML frameworks in innovative ways. It consists of (a) federated query engine, which manages federated queries and result set aggregation; and (b) data source facades, which translate the physical data models into a common model on-the-fly. System modules are connected via reusable Apache Camel integration routes and deployed to an OSGi enterprise service bus. A demonstration of the system using mock implementations is presented; we are currently working on integrating live data sources. Our system can be extended and integrated with existing SOA Healthcare and HL7 frameworks such as i2b2 and caGrid.