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Improved dynamic modeling for controlled server queues
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DOI：10.1016/j.conengprac.2025.106473.png)
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Abstract
En 中文
• A novel model structure for queue length control of cloud servers is proposed. • The model supports multiple queuing disciplines and service time distributions. • The model is evaluated using a discrete-event simulator and real cloud data. • The model provides valuable insights and is suitable for control purposes.
Keywords:
Modeling
Cloud control
Queuing theory
Resource management
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