Unsupervised Modeling of Workloads as an Enabler for Supervised Ensemble-based Prediction of Resource Demands on a Cloud
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Springer Nature Singapore
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https://link.springer.com/content/pdf/10.1007/978-981-16-8403-6_10
Reference12 articles.
1. C. St-Onge, S. Benmakrelouf, N. Kara et al., Generic SDE and GA-based workload modeling for cloud systems. J. Cloud Comp. 10(6) (2021)
2. A. Ganapathi, Y. Chen, A. Fox, R. Katz, D. Patterson, Statistics-driven workload modeling for the Cloud, in Proceedings 26th International Conference on Data Engineering Workshops (ICDEW) (2010), pp. 87–92
3. E. Patel, D.S. Kushwaha, Clustering cloud workloads: K-Means vs Gaussian mixture model. Procedia Comput. Sci. 171, 158–167 (2020)
4. E. Ergüner Özkoç, Clustering of time-series data, in Data Mining–Methods, Applications and Systems (IntechOpen, 2020), pp. 1–19
5. S. Ismaeel, A. Al-Khazraji, A. Miri, An efficient workload clustering framework for large-scale data centers, in Proceedings 8th International Conference on Modeling Simulation Applied Optimization (ICMSAO) (2019), pp. 1–5
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