Name
Abstract | ||
|---|---|---|
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 population-wide 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 multi-layer top-down energy-optimization methodology obtain promising results in a realistic scenario for cardiovascular tracking and analysis, making the Home Assisted Living a reality. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.future.2013.12.012 | Future Generation Comp. Syst. |
Keywords | Field | DocType |
required computing,energy footprint,e-health scenario,novel computing concept,multi-layer top-down energy-optimization methodology,energy-optimization issue,high-demanding computing facility,useful epidemiologic analysis,novel energy-driven computing paradigm,e-health implementation,computing service,cardiovascular tracking,resource management,cloud computing,green it,energy efficiency,data centers | Resource management,Green computing,Efficient energy use,Computer science,Exploit,Utility computing,End-user computing,Footprint,Distributed computing,Cloud computing | Journal |
Volume | ISSN | Citations |
34 | 0167-739X | 4 |
PageRank | References | Authors |
0.40 | 35 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marina Zapater | 1 | 46 | 8.05 |
| Patricia Arroba | 2 | 36 | 5.34 |
| José L. Ayala | 3 | 180 | 20.44 |
| José M. Moya | 4 | 36 | 5.04 |
| Katzalin Olcoz | 5 | 32 | 8.69 |