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Proceedings Paper

The data storage grid: the next generation of fault-tolerant storage for backup and disaster recovery of clinical images
Author(s): Nelson E. King; Brent Liu; Zheng Zhou; Jorge Documet; H. K. Huang
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Paper Abstract

Grid Computing represents the latest and most exciting technology to evolve from the familiar realm of parallel, peer-to-peer and client-server models that can address the problem of fault-tolerant storage for backup and recovery of clinical images. We have researched and developed a novel Data Grid testbed involving several federated PAC systems based on grid architecture. By integrating a grid computing architecture to the DICOM environment, a failed PACS archive can recover its image data from others in the federation in a timely and seamless fashion. The design reflects the five-layer architecture of grid computing: Fabric, Resource, Connectivity, Collective, and Application Layers. The testbed Data Grid architecture representing three federated PAC systems, the Fault-Tolerant PACS archive server at the Image Processing and Informatics Laboratory, Marina del Rey, the clinical PACS at Saint John's Health Center, Santa Monica, and the clinical PACS at the Healthcare Consultation Center II, USC Health Science Campus, will be presented. The successful demonstration of the Data Grid in the testbed will provide an understanding of the Data Grid concept in clinical image data backup as well as establishment of benchmarks for performance from future grid technology improvements and serve as a road map for expanded research into large enterprise and federation level data grids to guarantee 99.999 % up time.

Paper Details

Date Published: 15 April 2005
PDF: 10 pages
Proc. SPIE 5748, Medical Imaging 2005: PACS and Imaging Informatics, (15 April 2005); doi: 10.1117/12.594629
Show Author Affiliations
Nelson E. King, IPIL, Univ. of Southern California (United States)
Brent Liu, IPIL, Univ. of Southern California (United States)
Zheng Zhou, IPIL, Univ. of Southern California (United States)
Jorge Documet, IPIL, Univ. of Southern California (United States)
H. K. Huang, IPIL, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 5748:
Medical Imaging 2005: PACS and Imaging Informatics
Osman M. Ratib; Steven C. Horii, Editor(s)

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