LLM-Driven Adaptive Cloud Resource Scheduling: Bridging Reasoning Intelligence With Optimization Guarantees
- DOI
- 10.1109/ojcs.2026.3667549
- Published
- 2026
- Container
- IEEE Open Journal of the Computer Society
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1109/ojcs.2026.3667549,
title = {LLM-Driven Adaptive Cloud Resource Scheduling: Bridging Reasoning Intelligence With Optimization Guarantees},
author = {Guanyu Ding and Shiyu Yang and Han Lin and Zifan Chen and Jie Si Yang},
year = {2026},
journal = {IEEE Open Journal of the Computer Society},
doi = {10.1109/ojcs.2026.3667549},
url = {https://doi.org/10.1109/ojcs.2026.3667549}
}RIS
TY - JOUR TI - LLM-Driven Adaptive Cloud Resource Scheduling: Bridging Reasoning Intelligence With Optimization Guarantees AU - Guanyu Ding AU - Shiyu Yang AU - Han Lin AU - Zifan Chen AU - Jie Si Yang PY - 2026 JO - IEEE Open Journal of the Computer Society DO - 10.1109/ojcs.2026.3667549 UR - https://doi.org/10.1109/ojcs.2026.3667549 ER -
APA
Ding, G., Yang, S., Lin, H., Chen, Z., & Yang, J. S. (2026). LLM-Driven Adaptive Cloud Resource Scheduling: Bridging Reasoning Intelligence With Optimization Guarantees. IEEE Open Journal of the Computer Society. https://doi.org/10.1109/ojcs.2026.3667549
Source records
- doaj · retrieved 2026-09-25T08:04:41.821Z