Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments

Impacto

Downloads

Downloads per month over past year

Zapater, Marina and Sanchez, Cesar and Ayala Rodrigo, José Luis and Moya, Jose M. and Risco Martín, José Luis (2012) Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments. Sensors, 12 (8). pp. 10659-10677. ISSN 1424-8220

[thumbnail of sensors-12-10659.pdf]
Preview
PDF
Creative Commons Attribution.

600kB

Official URL: https://doi.org/10.3390/s120810659




Abstract

Ubiquitous sensor network deployments, such as the ones found in Smart cities and Ambient intelligence applications, require constantly increasing high computational demands in order to process data and offer services to users. The nature of these applications imply the usage of data centers. Research has paid much attention to the energy consumption of the sensor nodes in WSNs infrastructures. However, supercomputing facilities are the ones presenting a higher economic and environmental impact due to their very high power consumption. The latter problem, however, has been disregarded in the field of smart environment services. This paper proposes an energy-minimization workload assignment technique, based on heterogeneity and application-awareness, that redistributes low-demand computational tasks from high-performance facilities to idle nodes with low and medium resources in the WSN infrastructure. These non-optimal allocation policies reduce the energy consumed by the whole infrastructure and the total execution time.


Item Type:Article
Uncontrolled Keywords:ubiquitous sensor network; green computing; heterogeneous systems; data centers; high performance computing; smart cities; ambient intelligence
Subjects:Sciences > Computer science > Artificial intelligence
Sciences > Computer science > Networks
ID Code:67840
Deposited On:17 Sep 2021 11:06
Last Modified:17 Sep 2021 11:12

Origin of downloads

Repository Staff Only: item control page