D. Soudris, S. Xydis, Christos Baloukas, A. Hadzidimitriou, I. Chouvarda, K. Stamatopoulos, N. Maglaveras, John Chang, Andreas Raptopoulos, D. Manset, B. Pierscionek, R. Kayyali, N. Philip, Tobias Becker, K. Vaporidi, Eumorphia Kondili, D. Georgopoulos, L. Sutton, R. Rosenquist, L. Scarfò, P. Ghia
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AEGLE: A big bio-data analytics framework for integrated health-care services
AEGLE project1 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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