Online SLA Decomposition: Enabling Real-Time Adaptation to Evolving Network Systems
EC| DESIRE6G
Hsu, Cyril Shih-Huan; De Vleeschauwer, Danny; Papagianni, Chrysa; Grosso, Paola;
Online SLA Decomposition: Enabling Real-Time Adaptation to Evolving Network Systems
These slides accompany the research paper "Online SLA Decomposition: Enabling Real-Time Adaptation to Evolving Network Systems," presented at EuCNC & 6G Summit 2025.
Netherlands
- University of Amsterdam Netherlands
Machine Learning, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Networking and Internet Architecture, Artificial Intelligence, Machine Learning (cs.LG)
Machine Learning, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Networking and Internet Architecture, Artificial Intelligence, Machine Learning (cs.LG)
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selected citations
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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).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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