Building a medical research cloud in the EASI-CLOUDS project

Summary The demand for Information Technology (IT) resources is constantly growing in the scientific area. The ability to store and process increasing amounts of data has transformed many research disciplines like the life sciences, which now rely on complex data processing and data analytics. Cloud...

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Veröffentlicht in:Concurrency and computation 2015-11, Vol.27 (16), p.4465-4477
Hauptverfasser: Wu, Jie, Narayanan, Krishnaprasad, Nagel, Lars, Fiehe, Christoph, Litvina, Anna, Tonn, Jakob, Zoth, Carsten, Goltz, Hans-Joachim, Unger, Steffen, Pursche, Fabian, Scheel, Michael, Brinkmann, Andre, Thronicke, Wolfgang
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container_end_page 4477
container_issue 16
container_start_page 4465
container_title Concurrency and computation
container_volume 27
creator Wu, Jie
Narayanan, Krishnaprasad
Nagel, Lars
Fiehe, Christoph
Litvina, Anna
Tonn, Jakob
Zoth, Carsten
Goltz, Hans-Joachim
Unger, Steffen
Pursche, Fabian
Scheel, Michael
Brinkmann, Andre
Thronicke, Wolfgang
description Summary The demand for Information Technology (IT) resources is constantly growing in the scientific area. The ability to store and process increasing amounts of data has transformed many research disciplines like the life sciences, which now rely on complex data processing and data analytics. Cloud computing can provide researchers with scalable and easy‐to‐use hardware and software resources and allows on‐demand access to services, tools, or even complete work environments. The European research project EASI‐CLOUDS has developed a service delivery platform with special regard to service integration, monitoring and management, and the negotiation of service level agreements. In order to demonstrate the capabilities of the platform, a medical‐use case was devised and implemented in close partnership with the Charité University Hospital that has a high demand for computing resources, especially in the field of magnetic resonance imaging‐related diagnostics of brain diseases. This use case can serve as a blueprint for the development of cloud‐based services for medical research. Copyright © 2015 John Wiley & Sons, Ltd.
doi_str_mv 10.1002/cpe.3537
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subjects cloud
Cloud computing
cloud service platform
Computation
Computer programs
Construction
Demand
IaaS
Information technology
medical imaging
Medical research
PaaS
Platforms
SaaS
title Building a medical research cloud in the EASI-CLOUDS project
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