DocumentCode
655121
Title
Energy-Aware Process Design Optimization
Author
cappiello, cinzia ; Plebani, Pierluigi ; Vitali, Marco
Author_Institution
Dipt. di Elettron., Inf. e Bioingegneria, Milan, Italy
fYear
2013
fDate
Sept. 30 2013-Oct. 2 2013
Firstpage
451
Lastpage
458
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Cloud and Green Computing (CGC), 2013 Third International Conference on
Conference_Location
Karlsruhe
Type
conf
DOI
10.1109/CGC.2013.77
Filename
6686069
Link To Document