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ZENODO
Other literature type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2025
License: CC BY
Data sources: Datacite
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LLM-Based Algorithm Selection For Network Optimization and Orchestration

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type 15 Nov 2025 English Publisher:ZenodoFunded by:EC | DESIRE6G
Authors: Dalgkitsis, Anestis;

doi: 10.5281/zenodo.17801570 , 10.5281/zenodo.17801571

LLM-Based Algorithm Selection For Network Optimization and Orchestration

Abstract

A modular LLM-based framework that uses contextual reasoning to dynamically select the most suitable optimization algorithm for real-time network orchestration. It addresses scaling challenges, reduces manual decision-making, and improves SLA-aware service partitioning across distributed infrastructures. Presented live at the SC25 Conference INDIS Workshop.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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Average
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