<title>The data storage grid: the next generation of fault-tolerant storage for backup and disaster recovery of clinical images</title>

Abstract

Grid Computing represents the latest and most exciting technology to evolve from the familiar realm of parallel, peerto-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.

Pacs

“…Additional commercial implementations are now available and derived work has been recently presented for PACS [4] and disaster backup/archive scenarios in experimental and commercial environments [5][6][7]. Current activities utilize commercial Grid implementation, open-source Globus Toolkit release 3, and Moebius [8] technologies.…”

“…Keywords Assessment AE Clinical decision making AE Productivity AE PACS AE RIS 1 Introduction A number of claims for productivity gains associated with the introduction of PACS have been made in the international literature [1][2][3][4][5][6][7][8]. The purpose of this paper is to examine the experiences of a number of major public hospitals in Australia following the introduction of PACS with regards to productivity in the areas of senior clinicians, radiologists, radiographers, and clerical staff.…”

“…heart catheter movies) and DICOM objects featuring manufacturer-specific extensions of the DICOM standard by integration of the XMedCon utility [6] and the Offis DICOM toolkit [7]. A Java DICOM viewer [8] has been integrated into the Clearinghouse system, enabling for more detailed analyses of single or multiple DICOM objects. It features several standard tools for adjusting window center and width, zoom, magnifying glass, image rotation and measurement functionalities, as well as a cinematic mode (cf.…”

“…In order to model, construct and document the system, UML (Unified Modelling Language) was used, and JAVA for its implementation [8,9]. To produce the application, a prototype-based methodology for developing software was used [10] with the following stages: (a) Evaluating requirements.…”

Accessing medical image file with co-allocation HDFS in cloud

“…Building cloud computing in this large-scale parallel computing cluster is growing with thousands of processors [7,8,3,6,[9][10][11][12][13][14][15][16][17][18][19][20][21]. In such a large number of compute nodes, faults are becoming common place.…”