Evaluation Criteria to Run Scientific Applications in the Cloud - Cloud Computing with e-Science Applications - page 16

1.9 Conclusions
In the discussion in this chapter, with the focus on economic viability, we can
conclude that the cloud computing model is a competitive alternative to be used
for e-science applications. The recommended configuration is the public imple-
mentation model, by which the user pays according to the use of the application.
Moreover, due to the cost efficiency evaluation model presented, it is pos-
sible to determine when using a cloud is better in terms of cost-benefit ratio
than to buy a physical server. This metric can be used during the decision
process regarding which platform will be used to create the e-science service.
References
1. C. Ward, N. Aravamudan, K. Bhattacharya, K. Cheng, R. Filepp, R. Kearney,
B. Peterson, L. Shwartz, and C. Young. Workload migration into clouds—
challenges, experiences, opportunities. In Cloud Computing (CLOUD), 2010
IEEE 3rd International Conference on , July 2010, pp. 164-171.
2. W. Lu, J. Jackson, and R. Barga. Azureblast: a case study of developing science
applications on the cloud. In Proceedings of the 19th ACM International Symposium
on High Performance Distributed Computing, ser. HPDC '10 . New York: ACM, 2010,
pp. 413-420.
3. P. Mell and T. Grance. The NIST Definition of Cloud Computing . Tech. Rep.
2011. http://www.mendeley.com/research/the-nist-definition-about-cloud-
computing/.
4. E. Roloff, F. Birck, M. Diener, A. Carissimi, and P. O. A. Navaux. Evaluating high
performance computing on the Windows Azure platform. In Proceedings of the
2012 IEEE 5th International Conference on Cloud Computing (CLOUD 2012), 2012,
pp. 803-810.
5. D. Kondo, B. Javadi, P. Malecot, F. Cappello, and D. Anderson. Cost-benefit
analysis of cloud computing versus desktop grids. In Parallel Distributed Process-
ing, 2009. IPDPS 2009. IEEE International Symposium on , May 2009, pp. 1-12.
6. E. Roloff, M. Diener, A. Carissimi, and P. O. A. Navaux. High performance com-
puting in the cloud: deployment, performance and cost efficiency. In Proceedings
of the 2012 IEEE 4th International Conference on Cloud Computing Technology and
Science (CLOUDCOM), 2012, pp. 371-378.