Implementation of a medical image file accessing system in co-allocation data grids

There are two challenges of using the PACS (Picture Archiving and Communications System). First, PACS are limited to certain bandwidths and locations. Second, the high cost of maintaining Web PACS and the difficult management of Web PACS servers. Besides, the quality of transporting images and the bandwidth of accessing large files from different locations are difficult to guarantee. For instance, radiologists make use of PACS information system for achieving high-speed accessing medical images. Physicians, on the other hand, utilize web browsers to indirectly access the PACS information system via non-high-speed network. The insufficient bandwidth may cause bottleneck under a host of querying and accessing. As hospitals exchange large files such as medical images with each other via WANs, the bandwidth cannot support the huge amount of file transportation. In this paper, we propose a PACS based on data grids, and utilize MIFAS (Medical Image File Accessing System) to perform querying and retrieving medical images from the co-allocation data grid. MIFAS is also suitable for data grid environments with a server node and several client nodes. MIFAS can take advantage of the co-allocation modules to reduce the medical image transfer time. Also, we provide experiments to show the performance of MIFAS. Furthermore, in order to enhance the security, stability and reliability in the PACS, we also provide the user-friendly management interface.

[1]  Chien-Min Wang,et al.  Efficient multi-source data transfer in data grids , 2006, Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID'06).

[2]  Ching-Hsien Hsu,et al.  A Recursively-Adjusting Co-allocation scheme with a Cyber-Transformer in Data Grids , 2009, Future generations computer systems.

[3]  Ian T. Foster,et al.  Improving parallel data transfer times using predicted variances in shared networks , 2005, CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid, 2005..

[4]  Ian T. Foster,et al.  Predicting the performance of wide area data transfers , 2002, Proceedings 16th International Parallel and Distributed Processing Symposium.

[5]  Chao-Tung Yang,et al.  Improvements on dynamic adjustment mechanism in co-allocation data grid environments , 2007, The Journal of Supercomputing.

[6]  Ian T. Foster,et al.  The data grid: Towards an architecture for the distributed management and analysis of large scientific datasets , 2000, J. Netw. Comput. Appl..

[7]  Ching-Hsien Hsu,et al.  An Anticipative Recursively-Adjusting Mechanism for redundant parallel file transfer in data grids , 2008, 2008 13th Asia-Pacific Computer Systems Architecture Conference.

[8]  Steven Tuecke,et al.  Protocols and services for distributed data-intensive science , 2002 .

[9]  Ching-Hsien Hsu,et al.  File replication, maintenance, and consistency management services in data grids , 2010, The Journal of Supercomputing.

[10]  Brent Liu,et al.  The data storage grid: the next generation of fault-tolerant storage for backup and disaster recovery of clinical images , 2005, SPIE Medical Imaging.

[11]  V Breton,et al.  DataGrid, prototype of a biomedical grid. , 2003, Methods of information in medicine.

[12]  Peter Z. Kunszt,et al.  Giggle: A Framework for Constructing Scalable Replica Location Services , 2002, ACM/IEEE SC 2002 Conference (SC'02).

[13]  Chao-Tung Yang,et al.  Enhancement of Anticipative Recursively-Adjusting Mechanism for Redundant Parallel File Transfer in Data Grids , 2008, 2008 14th IEEE International Conference on Parallel and Distributed Systems.

[14]  G.V. Koutelakis,et al.  A Grid PACS Architecture: Providing Data-centric Applications through a Grid Infrastructure , 2007, 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[15]  Brent Liu,et al.  A data grid for imaging-based clinical trials , 2007, SPIE Medical Imaging.

[16]  Ian T. Foster,et al.  Data management and transfer in high-performance computational grid environments , 2002, Parallel Comput..

[17]  Javier Jaén Martínez,et al.  Data Management in an International Data Grid Project , 2000, GRID.

[18]  Chao-Tung Yang,et al.  Implementation of a Cyber Transformer for Parallel Download in Co-Allocation Data Grid Environments , 2008, 2008 Seventh International Conference on Grid and Cooperative Computing.

[19]  Reagan Moore,et al.  The SDSC storage resource broker , 2010, CASCON.

[20]  Ching-Hsien Hsu,et al.  Performance Analysis of Applying Replica Selection Technology for Data Grid Environments , 2005, PaCT.

[21]  Sudharshan S. Vazhkudai.  Enabling the co-allocation of grid data transfers , 2003, Proceedings. First Latin American Web Congress.

[22]  Ian T. Foster,et al.  Secure, Efficient Data Transport and Replica Management for High-Performance Data-Intensive Computing , 2001, 2001 Eighteenth IEEE Symposium on Mass Storage Systems and Technologies.

[23]  Ching-Hsien Hsu,et al.  An Anticipative Recursively Adjusting Mechanism for parallel file transfer in data grids , 2010, Concurr. Comput. Pract. Exp..

[24]  Jennifer M. Schopf,et al.  A performance study of monitoring and information services for distributed systems , 2003, High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on.

[25]  Chao-Tung Yang,et al.  Implementation of a dynamic adjustment strategy for parallel file transfer in co-allocation data grids , 2009, The Journal of Supercomputing.

[26]  B. Krauskopf,et al.  Proc of SPIE , 2003 .

[27]  Ian T. Foster,et al.  Replica selection in the Globus Data Grid , 2001, Proceedings First IEEE/ACM International Symposium on Cluster Computing and the Grid.