The Multi-level Adaptive Approach for Efficient Execution of Multi-scale Distributed Applications with Dynamic Workload
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-05807-4_58
Reference13 articles.
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3. Advances in Intelligent Systems and Computing;AA Visheratin,2018
4. Visheratin, A.A., Melnik, M., Nasonov, D.: Automatic workflow scheduling tuning for distributed processing systems. Procedia Comput. Sci. 101, 388–397 (2016)
5. Chen, H., Zhu, X., Qiu, D., Guo, H., Yang, L.T., Lu, P.: EONS: minimizing energy consumption for executing real-time workflows in virtualized cloud data centers. In: 2016 45th International Conference on Parallel Processing Workshops (ICPPW), pp. 385–392. IEEE, August 2016
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