Evolving Scheduling Heuristics for Energy-Efficient Dynamic Workflow Scheduling in Cloud via Genetic Programming Hyper-Heuristics
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5578-3_14
Reference22 articles.
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3. Ye, L., Xia, Y., Yang, L., Yan, C.: SHWS: stochastic hybrid workflows dynamic scheduling in cloud container services. IEEE Trans. Autom. Sci. Eng. 19, 2620–2636 (2022)
4. Havet, A., Schiavoni, V., Felber, P., Colmant, M., Rouvoy, R., Fetzer, C.: GENPACK: a generational scheduler for cloud data centers. In: 2017 IEEE International Conference on Cloud Engineering, pp. 95–104. IEEE (2017)
5. Hu, B., Cao, Z., Zhou, M.: Scheduling real-time parallel applications in cloud to minimize energy consumption. IEEE Trans. Cloud Comput. 10, 662–674 (2022)
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