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Machine Learning-Based Actuation Orchestration for Inter-/Intra-Data Center Networks | IEEE Conference Publication | IEEE Xplore

Machine Learning-Based Actuation Orchestration for Inter-/Intra-Data Center Networks


Abstract:

Datacenter (DC) infrastructures are essential to support the requirements posed by nowadays digital society and emerging industrial trends. In such context, a proper actu...Show More

Abstract:

Datacenter (DC) infrastructures are essential to support the requirements posed by nowadays digital society and emerging industrial trends. In such context, a proper actuation management has become especially relevant for service quality assurance operations. In situations where it may be difficult to determine which is the sub-system that needs to apply an actuation, machine learning (ML)-based strategies become valuable assets to orchestrate the actuations to be applied. In this paper, we discuss three strategies for actuation orchestration in inter-/intra-DC scenarios interconnected through optical network systems and benchmark them in terms of requirements that they impose and the achieved performance.
Date of Conference: 26-29 September 2023
Date Added to IEEE Xplore: 02 November 2023
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Conference Location: Mantova, Italy

References

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