Title
Applying the Software-to-Data Paradigm in Next Generation E-Health Hybrid Clouds
Abstract
Health care providers have over years continuously rejected Public Cloud technology for understandable concerns regarding privacy and confidentiality. The pick up rate on cloud computing in health care has been very poor reminding at the typical hype curve profile. Coincidentally Google Health has been discontinued and Microsoft Health Vault has switched focus and turned to the slightly "softer" ambient assisted living market. It seems that the idea of using Platforms as a Service and Software as a Service to manage and distribute patient data in support of new distributed patient centric care models and services will require second thoughts and new ideas in order to receive another chance to penetrate global health care markets. The 2010 EC Cloud report briefly discussed the possibility of a reverse cloud approach aiming at sending software to the data rather than the other way round [1]. This thought seems to be worthwhile exploring further, as it would also sit well with the fact that the overall amount of data is currently growing much faster than the available bandwidth, a gap that continues to widen. Therefore it would be entirely reasonable to consider ideas to bring the software to the data rather than the other way round. This approach would also address existing governance, QoS and security issues. Our paper proposes a taxonomy and an architecture for the implementation of the software-to-data-paradigm in health care scenarios. The model is based on the "FI Core Platform" an innovative concept currently under investigation under the European 7th Framework (FP7)[2].
Year
DOI
Venue
2013
10.1109/ITNG.2013.77
Information Technology: New Generations
Keywords
Field
DocType
public cloud technology,ec cloud report,microsoft health vault,next generation e-health hybrid,health care provider,health care,software-to-data paradigm,coincidentally google health,global health care market,patient centric care model,health care scenario,patient data,cloud computing,security,taxonomy,computer architecture,software as a service,cloud,sdn,ehealth
Health care,Confidentiality,Computer security,Computer science,Quality of service,Computer network,Software as a service,eHealth,Software,Global health,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-0-7695-4967-5
13
1.34
References 
Authors
3
8
Name
Order
Citations
PageRank
Christoph Thuemmler1262.99
jessica mueller2161.80
Stefan Covaci319735.07
Thomas Magedanz41012150.45
Stefano De Panfilis5856.31
thomas jell6131.34
alexander w schneider7131.34
anastasius gavras8131.34