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The Kubernetes Network Driver Model: A Composable Architecture for High-Performance Networking

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 13 Oct 2025Embargo end date: 01 Jan 2025Publisher:IEEEJournal:2025 IEEE 50th Conference on Local Computer Networks (LCN)
Authors: Ojea, Antonio;

doi: 10.1109/lcn65610.2025.11146291 , 10.48550/arxiv.2506.23628

arXiv: http://arxiv.org/abs/2506.23628

The Kubernetes Network Driver Model: A Composable Architecture for High-Performance Networking

Abstract

Traditional Kubernetes networking struggles to meet the escalating demands of AI/ML and evolving Telco infrastructure. This paper introduces Kubernetes Network Drivers (KNDs), a transformative, modular, and declarative architecture designed to overcome current imperative provisioning and API limitations. KNDs integrate network resource management into Kubernetes' core by utilizing Dynamic Resource Allocation (DRA), Node Resource Interface (NRI) improvements, and upcoming OCI Runtime Specification changes. Our DraNet implementation demonstrates declarative attachment of network interfaces, including Remote Direct Memory Access (RDMA) devices, significantly boosting high-performance AI/ML workloads. This capability enables sophisticated cloud-native applications and lays crucial groundwork for future Telco solutions, fostering a "galaxy" of specialized KNDs for enhanced application delivery and reduced operational complexity.

6 pages, 9 figures, submitted to IEEE LCN Special Track on Cloud-AI-Native Mobile Networks Powered by eBPF (CAMe 2025)

Keywords

Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Artificial Intelligence (cs.AI), Networking and Internet Architecture, Artificial Intelligence

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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!
0
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Average
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