Budget-Aware Performance Optimization of Workflows in Multiple Data Center Clouds
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-67550-9_10
Reference18 articles.
1. Arabnejad, V., Bubendorfer, K., Ng, B.: Budget distribution strategies for scientific workflow scheduling in commercial clouds. In: 2016 IEEE 12th International Conference on e-Science (e-Science), pp. 137–146. IEEE (2016)
2. Arabnejad, V., Bubendorfer, K., Ng, B.: Budget and deadline aware e-science workflow scheduling in clouds. IEEE Trans. Parallel Distrib. Syst. 30(1), 29–44 (2018)
3. Braun, T.D., et al.: A comparison of eleven static heuristics for mapping a class of independent tasks onto heterogeneous distributed computing systems. J. Parallel Distrib. Comput. 61(6), 810–837 (2001)
4. Brucker, P.: Scheduling Algorithms, vol. 3. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-69516-5
5. Caniou, Y., Caron, E., Chang, A.K.W., Robert, Y.: Budget-aware scheduling algorithms for scientific workflows with stochastic task weights on heterogeneous IAAS cloud platforms. In: 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 15–26. IEEE (2018)
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