A case study in application I/O on Linux clusters
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
CyclopsDistMedDB. - A Transparent Gateway for Distributed Medical Data Access in DICOM Format
CBMS '02 Proceedings of the 15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02)
Grid Service for Visualization and Analysis of Remote Fusion Data
CLADE '04 Proceedings of the 2nd International Workshop on Challenges of Large Applications in Distributed Environments
A Statewide Telemedicine Network for Public Health in Brazil
CBMS '06 Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems
HDF5-FastQuery: Accelerating Complex Queries on HDF Datasets using Fast Bitmap Indices
SSDBM '06 Proceedings of the 18th International Conference on Scientific and Statistical Database Management
Building a National Telemedicine Network
IT Professional
Asynchronous Data Replication: A National Integration Strategy for Databases on Telemedicine Network
CBMS '08 Proceedings of the 2008 21st IEEE International Symposium on Computer-Based Medical Systems
A medical image file accessing system with virtualization fault tolerance on cloud
GPC'12 Proceedings of the 7th international conference on Advances in Grid and Pervasive Computing
Streaming of medical images using JPEG2000 Interactive Protocol
International Journal of Innovative Computing and Applications
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Conventional storage and retrieval of information from telemedicine environments is usually based on ordinary database systems. Aspects such as scalability, information distribution, high performance system techniques and operational costs are well known challenges to be circumvented in the research for novel proposals in the field of large-scale telemedicine systems. In this paper we present an architecture that targets high performance levels in storing and retrieving DICOM medical images, adopting a distributed approach in a cluster configuration. Our proposal has two main components: the first element is a data model that is based on image hierarchy, considering the hierarchical data format 5 (HDF5). The second component is a distributed file system, characterised by the parallel virtual file system (PVFS) that was employed in this proposal as a distributed storage data system. As a result, this paper presents a differentiated approach for storage and retrieval of information for a telemedicine environment. Experimental results, utilising the architecture, indicate an enhanced level of performance around 16% in terms of storage process. This number represents an improved performance in comparison to a conventional database system.