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

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.

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Publication Details

Published
2025-09-15
DOI
https://doi.org/10.1109/lcn65610.2025.11146291
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
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article

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

Antonio Ojea
Software-Defined Networks and 5G
article

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

Antonio Ojea
article en

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.

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Software-Defined Networks and 5G
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The Kubernetes Network Driver Model: A Composable Architecture for High-Performance Networking — Antonio Ojea · (2025) | TGRS Research Map | TGRS