AI-enhanced modelling of queueing and scheduling systems in cloud computing
Abstract Cloud computing environments encounter significant challenges in resource management through queueing and scheduling systems, as traditional methods struggle with dynamic workload optimization. This research introduces an innovative AI-enhanced framework combining deep workload prediction a...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-03-01
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| Series: | Discover Applied Sciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s42452-025-06755-2 |
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