Introducing High-Performance and High-Throughput Processing in the TRENCADIS Data Sharing Architecture

Abstract

TRENCADIS (towards a grid environment to process and share DICOM objects) is a data sharing infrastructure based on grid technologies that federate distributed repositories of radiological studies using ontological models on the information of the structured reports. TRENCADIS has demonstrated its efficiency in data sharing. This work describes an extension of the architecture, based on WSRF, to deal with both high-performance and high-throughput applications on medical images. This enables TRENCADIS to work with complex workflows exploiting the computing capabilities of current e-infrastructures, such as EGEE.