RT Journal Article
T1 Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments
A1 Zapater, Marina
A1 Sanchez, Cesar
A1 Ayala Rodrigo, José Luis
A1 Moya, Jose M.
A1 Risco Martín, José Luis
AB 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.
PB MDPI
SN 1424-8220
YR 2012
FD 2012-08-03
LK https://hdl.handle.net/20.500.14352/43286
UL https://hdl.handle.net/20.500.14352/43286
LA eng
DS Docta Complutense
RD 22 ago 2024