Title :
Energy-Aware Process Design Optimization
Author :
cappiello, cinzia ; Plebani, Pierluigi ; Vitali, Marco
Author_Institution :
Dipt. di Elettron., Inf. e Bioingegneria, Milan, Italy
fDate :
Sept. 30 2013-Oct. 2 2013
Abstract :
Cloud computing has a big impact on the environment since the energy consumption and the resulting CO2 emissions of data centers can be compared to the worldwide airlines traffic. Many researchers are addressing such issue by proposing methods and techniques to increase data center energy efficiency. Focusing at the application level, this paper proposes a method to support the process design by optimizing the configuration and deployment. In particular, measuring and monitoring suitable metrics, the presented approach provides a support to the designer to select the way in which it is possible to modify the process deployment in order to continuously guarantee good performance and energy efficiency. The process adaptation can be required when inefficiencies occur or when, although the system is efficient, there is still room for improvements.
Keywords :
cloud computing; computer centres; energy conservation; optimisation; power aware computing; carbon dioxide emissions; cloud computing; data center energy efficiency; energy consumption; energy-aware process design optimization; process deployment; Air pollution; Bayes methods; Green products; Measurement; Monitoring; Optimization; Servers;
Conference_Titel :
Cloud and Green Computing (CGC), 2013 Third International Conference on
Conference_Location :
Karlsruhe
DOI :
10.1109/CGC.2013.77