Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments
1
CEI Campus Moncloa, UCM-UPM, Madrid 28040, Spain
2
Electronic Engineering Department, ETSI Telecomunicación, Universidad Politécnica de Madrid, Madrid 28040, Spain
3
IMDEA Software Institute, and Institute for Applied Physics, CSIC, Madrid 28660, Spain
4
DACYA, Universidad Complutense de Madrid, Madrid 28040, Spain
*
Author to whom correspondence should be addressed.
Sensors 2012, 12(8), 10659-10677; https://doi.org/10.3390/s120810659
Received: 19 March 2012
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Revised: 23 July 2012
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Accepted: 27 July 2012
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Published: 3 August 2012
(This article belongs to the Special Issue Select papers from UCAmI 2011 - the 5th International Symposium on Ubiquitous Computing and Ambient Intelligence (UCAmI'11))
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.
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Keywords:
ubiquitous sensor network; green computing; heterogeneous systems; data centers; high performance computing; smart cities; ambient intelligence
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MDPI and ACS Style
Zapater, M.; Sanchez, C.; Ayala, J.L.; Moya, J.M.; Risco-Martín, J.L. Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments. Sensors 2012, 12, 10659-10677. https://doi.org/10.3390/s120810659
AMA Style
Zapater M, Sanchez C, Ayala JL, Moya JM, Risco-Martín JL. Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments. Sensors. 2012; 12(8):10659-10677. https://doi.org/10.3390/s120810659
Chicago/Turabian StyleZapater, Marina, Cesar Sanchez, Jose L. Ayala, Jose M. Moya, and José L. Risco-Martín. 2012. "Ubiquitous Green Computing Techniques for High Demand Applications in Smart Environments" Sensors 12, no. 8: 10659-10677. https://doi.org/10.3390/s120810659
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