A Data Storage Approach for Large-Scale Distributed Medical Systems

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.