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Distributed Data Management Service for VPH Applications

Research output: Contribution to journalArticle

S Koulouzis, Adam Belloum, Marian Bubak, Pablo Lamata de la Orden, Daniel Nolte, D Vasyunin, C De Laat

Original languageEnglish
Pages (from-to)34-41
JournalIEEE INTERNET COMPUTING
Volume20
Issue number2
Early online date13 Jul 2015
DOIs
StatePublished - 1 Mar 2016

King's Authors

Abstract

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.

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