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Issue No. 02 - Mar.-Apr. (2016 vol. 20)
ISSN: 1089-7801
pp: 34-41
Spiros Koulouzis , University of Amsterdam
Adam Belloum , University of Amsterdam
Marian Bubak , University of Amsterdam
Pablo Lamata , King's College, London
Daniel Nolte , King's College, London
Dmitry Vasyunin , University of Amsterdam
Cees de Laat , University of Amsterdam
For many medical applications, it's challenging to access large datasets, which are often hosted across different domains on heterogeneous infrastructures. Homogenizing the infrastructure to simplify data access is unrealistic; therefore, it's important to develop distributed storage that doesn't introduce added complexity. Here, a solution is investigated that flexibly federates data on clouds or grids without changing the existing infrastructure, instead scaling with the increasing data demand. Unlike existing approaches, this method isn't bound to a specific technology and doesn't require additional effort from administrators, users, or application developers to federate and use the storage infrastructure.
Web and internet services, Medical diagnostic imaging, Cardiology, Benchmark testing, Distributed databases, Anatomy, Image segmentation, Cloud computing, Distributed processing, Metasearch,cardiac anatomy, Internet/Web technologies, data federation, data sharing, cloud storage, VPH applications
Spiros Koulouzis, Adam Belloum, Marian Bubak, Pablo Lamata, Daniel Nolte, Dmitry Vasyunin, Cees de Laat, "Distributed Data Management Service for VPH Applications", IEEE Internet Computing, vol. 20, no. , pp. 34-41, Mar.-Apr. 2016, doi:10.1109/MIC.2015.71
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