User-Plane Algorithms for Stateless and Stateful Inference in Programmable Networks

In the last decade, the complexity of networks has increased significantly to accommodate the rise of innovative applications. This growing complexity has rendered traditional human-in-the-loop network management approaches inadequate, necessitating greater automation and flexibility in managing these networks. The introduction of Software- Defined Networking (SDN) with a programmable control plane marked a major advancement in this direction, enabling a wide range of network automation applications to be executed within the SDN control plane.

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Publication Details

Journal
ACM SIGMETRICS Performance Evaluation Review
Published
2025-01-09
DOI
https://doi.org/10.1145/3712170.3712177
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
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article

User-Plane Algorithms for Stateless and Stateful Inference in Programmable Networks

Aristide Tanyi‐Jong Akem
6 links
ACM SIGMETRICS Performance Evaluation Review
Software-Defined Networks and 5G
article

User-Plane Algorithms for Stateless and Stateful Inference in Programmable Networks

Aristide Tanyi‐Jong Akem
article en

Abstract

In the last decade, the complexity of networks has increased significantly to accommodate the rise of innovative applications. This growing complexity has rendered traditional human-in-the-loop network management approaches inadequate, necessitating greater automation and flexibility in managing these networks. The introduction of Software- Defined Networking (SDN) with a programmable control plane marked a major advancement in this direction, enabling a wide range of network automation applications to be executed within the SDN control plane.

ACM SIGMETRICS Performance Evaluation ReviewVol. 52(3)
IMDEA Networks (ES)
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Openalex Percentile: Top 99%
Software-Defined Networks and 5G
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