A novel energy-driven computing paradigm for e-health scenarios

Marina Zapater, Patricia Arroba, José L. Ayala, José M. Moya, Katzalin Olcoz
2014 Future generations computer systems  
A first-rate e-Health system saves lives, provides better patient care, allows complex but useful epidemiologic analysis and saves money. However, there may also be concerns about the costs and complexities associated with e-health implementation, and the need to solve issues about the energy footprint of the high-demanding computing facilities. This paper proposes a novel and evolved computing paradigm that: i) provides the required computing and sensing resources; ii) allows the
more » ... e diffusion; iii) exploits the storage, communication and computing services provided by the Cloud; iv) tackles the energy-optimization issue as a first-class requirement, taking it into account during the whole development cycle. The novel computing concept, and the multilayer top-down energy-optimization methodology, obtain promising results in a realistic scenario for cardiovascular tracking and analysis, making the Home Assisted Living a reality. Node Coordinator Cloud infrastructure Resource allocation Resource Management (RM) & Configuration Application/Compiler Architecture Global resource allocation WBSN adaptation [23] ECG algorithms [11] [25] Loop buffering [28] [29] IMO [33] Virtual architecture [24] Compiler and application-level tools [26] [27] RAM optimizations and PCM [30]
doi:10.1016/j.future.2013.12.012 fatcat:vdhpnj7oz5hivo4ugpqjmx7gum