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AEGLE: A big bio-data analytics framework for integrated health-care services

Dimitrios Soudris,Sotirios Xydis,Christos Baloukas,Anastasia Hadzidimitriou,Ioanna Chouvarda,Kostas Stamatopoulos,Nicos Maglaveras,John Chang,Andreas Raptopoulos,David Manset,Barbara K. Pierscionek,Reem Kayyali,Nada Y. Philip,Tobias Becker,Katerina Vaporidi, Eumorphia Kondili,Dimitrios Georgopoulos,Lesley Ann Sutton,Richard Rosenquist,Lydia Scarfo,Paolo Ghia

2015 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS)（2015）

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摘要
AEGLE project 1 targets to build an innovative ICT solution addressing the whole data value chain for health based on: cloud computing enabling dynamic resource allocation, HPC infrastructures for computational acceleration and advanced visualization techniques. In this paper, we provide an analysis of the addressed Big Data health scenarios and we describe the key enabling technologies, as well as data privacy and regulatory issues to be integrated into AEGLE's ecosystem, enabling advanced health-care analytic services, while also promoting related research activities.
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关键词
AEGLE project,Big bio-Data analytics framework,integrated health-care services,ICT,data value chain,cloud computing,dynamic resource allocation,HPC infrastructures,computational acceleration,visualization techniques,Big Data health scenarios,data privacy,regulatory issues,health-care analytic services
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