Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CGC.2013.77 | CGC |
Keywords | Field | DocType |
optimisation,power aware computing,co2 emission,computer centres,carbon dioxide emissions,process design,energy conservation,data center,application level,data center energy efficiency,process adaptation,big impact,energy-aware process design optimization,energy consumption,cloud computing,energy efficiency,process deployment | Energy conservation,Software deployment,Efficient energy use,Computer science,Server,Real-time computing,Process design,Data center,Energy consumption,Cloud computing,Distributed computing | Conference |
Citations | PageRank | References |
2 | 0.37 | 12 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cinzia Cappiello | 1 | 978 | 64.35 |
| Pierluigi Plebani | 2 | 813 | 56.12 |
| Monica Vitali | 3 | 64 | 11.82 |