Cost Optimization of Execution of Multi-level Deadline-Constrained Scientific Workflows on Clouds

Author:

Malawski Maciej,Figiela Kamil,Bubak Marian,Deelman Ewa,Nabrzyski Jarek

Publisher

Springer Berlin Heidelberg

Reference19 articles.

1. Abrishami, S., Naghibzadeh, M., Epema, D.H.: Deadline-constrained workflow scheduling algorithms for infrastructure as a service clouds. Future Gener. Comput. Syst. 29(1), 158–169 (2013). http://www.sciencedirect.com/science/article/pii/S0167739X12001008

2. AWS: AWS public datasets. http://aws.amazon.com/publicdatasets/ (2013)

3. Barrionuevo, J.J.D., Fard, H.M., Prodan, R.: Moheft: a multi-objective list-based method for workflow scheduling. In: 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings, CloudCom 2012, Taipei, Taiwan, 3–6 December 2012, pp. 185–192 (2012)

4. Bharathi, S., Chervenak, A., Deelman, E., Mehta, G., Su, M.H., Vahi, K.: Characterization of scientific workflows. In: Third Workshop on Workflows in Support of Large-Scale Science, WORKS 2008, pp. 1–10. IEEE (2008). http://dx.doi.org/10.1109/WORKS.2008.4723958

5. Bittencourt, L.F., Madeira, E.R.M.: Hcoc: a cost optimization algorithm for workflow scheduling in hybrid clouds. J. Internet Serv. Appl. 2(3), 207–227 (2011)

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