A Novel Approach to Cloud Resource Management: Hybrid Machine Learning and Task Scheduling
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10723-023-09702-w.pdf
Reference39 articles.
1. Adil, M., Nabi, S., Aleem, M., Diaz, V.G., Lin, J.C.-W.: Ca-mlbs: content-aware machine learning based load balancing scheduler in the cloud environment. Expert. Syst. 40(4), e13150 (2023)
2. Al-Rahayfeh, A., Atiewi, S., Abuhussein, A., Almiani, M.: Novel approach to task scheduling and load balancing using the dominant sequence and mean shift clustering algorithms. Future Internet 11, 5 (2019)
3. Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J., Brandic, I.: Cloud computing and emerging it platforms: Vision, hype, and reality for delivering computing as the 5th utility. Futur. Gener. Comput. Syst. 25(6), 599–616 (2022)
4. Li, B., Zhou, X., Ning, Z., Guan, X., Yiu, K.: C, Dynamic event-triggered security control for networked control systems with cyber-attacks: A model predictive control approach. Inf. Sci. 612, 384–398 (2022)
5. Chaisiri, S., Lee, B.-S., Niyato, D.: Optimizing resource provisioning cost in cloud computing. IEEE Trans. Serv. Comput. 5(2), 164–177 (2020)
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