A Data Storage Approach for Large-Scale Distributed Medical Systems

Author

De Macedo, Douglas D. J. ; Von Wangenheim, Aldo ; Dantas, Mario A. R.

Author_Institution

Dept. of Inf., Fed. Inst. of Santa Catarina (IFSC), Garopaba, Brazil

fYear

2015

fDate

8-10 July 2015

Firstpage

486

Lastpage

490

Abstract

Nowadays the studies of how to store massive amounts of data is a constant concern for the entire scientific community. In this paper is presented a data storage approach for DICOM medical image in distributed environments, using the distributed file systems CEPH, FhGFS, PVFS and Lustre versus a traditional RDBMS. The main contribution behind this work is open an important discussion about the research for better long-term data persistence methods, improving the management levels and still, bringing practical benefits to the medical systems. Beyond that, the experiments results have show that our approach using a distributed file system CEPH had the best performance to storage 1000 and 2500, reaching up to 907.49% better than a conventional approach using RDBMS.

Keywords

distributed databases; medical image processing; network operating systems; storage management; CEPH; DICOM medical image; FhGFS; Lustre; PVFS; RDBMS; data storage approach; distributed environments; distributed file systems; large-scale distributed medical systems; long-term data persistence methods; management levels; Computer architecture; DICOM; Databases; File systems; Image storage; Medical diagnostic imaging; distributed medical systems; performance; storage;

fLanguage

English

Publisher

ieee

Conference_Titel

Complex, Intelligent, and Software Intensive Systems (CISIS), 2015 Ninth International Conference on

Conference_Location

Blumenau

Print_ISBN

978-1-4799-8869-3

Type

conf

DOI

10.1109/CISIS.2015.88

Filename

7185236