![](bg6.png)
ACKNOWLEDGEMENTS
This work has been partially supported by the
ECO
2
Clouds project (http://eco2clouds.eu) and has
been partly funded by the European Commission's
IST activity of the 7th Framework Program under
contract number ICT- 318048. This work expresses
the opinions of the authors and not necessarily those
of the European Commission. The European
Commission is not liable for any use that may be
made of the information contained in this work. The
authors thank all the participants in the project for
common work and discussions.
REFERENCES
Beloglazov, A., Buyya, R., Choon Lee, Y., Zomaya, A.Y.,
2011. A Taxonomy and Survey of Energy-Efficient
Data Centers and Cloud Computing Systems.
Advances in Computers 82: 47-111
BonFIRE, 2013. http://www.bonfire-project.eu/ link
checked on Dec. 29, 2013
Bucchiarone, A., Cappiello, C. Di Nitto, E., Barbara
Pernici, Sandonini, A., 2012: A Variable Context
Model for Adaptable Service-Based Applications.
IJARAS 3(3): 35-53
Cappiello, C., Datre, S., Fugini, M. G., Gienger, M.,
Melia’, P., Pernici, B. 2013. Monitoring and Assessing
Energy Consumption and CO
2
Emissions in Cloud-
based Systems, IEEE International Conference on
Systems, Man and Cybernetics (SMC)
Chen, D., Henis, E., Kat, R. I., Sotnikov, D., Cappiello, C.,
Ferreira, A. M., Pernici, B., Vitali, M., Jiang, T., Liu,
J., Kipp, A., 2011. Usage centric green performance
indicators, Proceedings of GreenMetrics 2011
(SIGMETRICS workshop).
ECO
2
Clouds, 2013. D3.1: Layered Sets of Metrics and
Application Profile, ECO
2
Clouds project deliverable,
http://eco2clouds.eu
Greenpeace, 2012. How clean is your cloud?,
http://www.greenpeace.org/international/en/publicatio
ns/Campaign-reports/Climate-Reports/How-Clean-is-
Your-Cloud/ link checked on Dec. 29, 2013
Khosravi, A. Garg, S. K., Buyya, R., 2013. Energy and
Carbon-Efficient Placement of Virtual Machines in
Distributed Cloud Data Centers. Euro-Par 2013, 317-
328
Kolodziej, J., Khan, S. U., Wang, L., Zomaya, A. Y.,
2012. Energy efficient genetic-based schedulers in
computational Grids. Concurrency and Computation:
Practice and Experience
Kipp, A., Jiang, T., Fugini, M. G., Salomie, I., 2012.
Layered Green Performance Indicators, Future
Generation Comp. Syst. 28(2), 478-489
Lindberg. P. et al., 2012. Comparison and analysis of eight
scheduling heuristics for the optimization of energy
consumption and makespan in large-scale distributed
systems. In Journal of Supercomputing, Vol. 59, Issue
1, 323-360.
Papazoglou, M. P., Pohl, K., Parkin, M., Metzger, A.
(Eds.), 2010. Service Research Challenges and
Solutions for the Future Internet - S-Cube - Towards
Engineering, Managing and Adapting Service-Based
Systems. Springer, Lecture Notes in Computer Science
S-Cube Team, http://www.s-cube-network.eu/, link
checked on Dec. 29, 2013
Reiter, M., Fettke, P., Loos, P., 2013. Towards a
Reference Model for Ecological IT Service
Management, International Conference on
Information Systems, Milan
Singh, H. Reuters, T. (eds), 2011. Data Center Maturity
Model, http://www.thegreengrid.org/en/Global/Conte
nt/white-papers/DataCenterMaturityModel Dec. 29,
2013
Tenschert, A., Gienger, M., 2013. Cloud Federation
Monitoring for an Improved Eco-Efficiency,
eChallenges 2013, Dublin, Ireland
Wajid, U., Marín, C. A, Mehandjiev, N., 2013. Optimizing
Service Ecosystems in the Cloud, in The Future
Internet, Lecture Notes in Computer Science, Volume
7858, Springer.
AssessmentoftheEnvironmentalImpactofApplicationsinFederatedClouds
261