2014
DOI: 10.1016/j.future.2013.12.012
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A novel energy-driven computing paradigm for e-health scenarios

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; ii… Show more

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Cited by 12 publications
(4 citation statements)
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“…The policies applied yield to savings of 23.4% in the overall application. All possible combinations and further energy-aware policies, including SLURM allocation optimization, and improved VM consolidation will be applied in future work, following the methodology in [27].…”
Section: Resultsmentioning
confidence: 99%
“…The policies applied yield to savings of 23.4% in the overall application. All possible combinations and further energy-aware policies, including SLURM allocation optimization, and improved VM consolidation will be applied in future work, following the methodology in [27].…”
Section: Resultsmentioning
confidence: 99%
“…The CPU dynamic power P dynamic can be expressed in terms of the CPU utilization u CPU -that is, in proportion to the CPU clock frequency f -if the CPU supply voltage E dd and effective switching capacitance C e are constant [30,35], as shown in Eq. (2):…”
Section: Cpu Heat Generation Modelmentioning
confidence: 99%
“…Recent high-density servers have applied variable airflow control (which maintains a minimum server airflow to conserve server cooling fan energy [27]) and a CPU die temperature between 75 and 90 • C (wherein CPU reliability is guaranteed [35]) [32,36,37].…”
Section: Steady-state Server Modelmentioning
confidence: 99%
“…"A new system of distributed computing tools" known as biomedical engineers envision have been developed that collectslegal medical data about patientsand stores itona secured network which gives a quick delivery and efficient care to patients. In order to obtain such benefits, the target population has to be monitored 24 hours a day, and a Wireless Body Sensor Network (WBSN) is deployed [5].…”
Section: Introductionmentioning
confidence: 99%