software-defined networking
PulseAugur coverage of software-defined networking — every cluster mentioning software-defined networking across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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SF Compute enables programmable data centers for GPU trading
SF Compute, a company focused on the GPU market, is enabling programmatic control over data centers, akin to software-defined networking's impact on cloud infrastructure. CEO Evan Conrad likens their expansion to operat…
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Schneider Electric uses SDN to speed up AI data center builds · 2 sources tracked
Schneider Electric is developing software-defined networking (SDN) solutions to accelerate the construction of AI data centers. These solutions aim to streamline the deployment and management of network infrastructure, …
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Chengtai Technology CTO unveils AI Radar, a paradigm shift for radar development
Chengtai Technology's CTO, Zhou Ke, has introduced the concept of "AI Radar," which represents a paradigm shift from traditional radar systems. Unlike conventional radars with fixed firmware, AI Radars utilize trainable…
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Deep learning models enhance anomaly detection in zero-trust networks
Researchers have developed two deep learning models, a Vision Transformer (ViT) and a 1D Convolutional Neural Network (1D-CNN), to enhance anomaly detection within zero-trust software-defined networks. These models anal…
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New architecture enables decentralized orchestration for fluid AI and IoT
A new paper proposes a decentralized orchestration architecture for fluid computing environments, aiming to improve resource management across heterogeneous devices like end devices, edge infrastructure, and cloud platf…
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Netris raises $15M from a16z for AI network automation · 3 sources tracked
Netris, a startup specializing in network automation for AI infrastructure, has secured $15 million in Series A funding from Andreessen Horowitz. The company's software aims to streamline the setup, configuration, and o…
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AI-native closed-loop security proposed for 6G cyber-physical systems
A new survey paper proposes an AI-native, closed-loop security framework for 6G-enabled cyber-physical systems (CPSs). The proposed system aims to detect and mitigate threats at the network edge with millisecond-level p…
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LLMs and RAG enhance DDoS attack detection in SDN
Researchers have developed a new framework using Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) to detect and mitigate Carpet-Bombing DDoS attacks in Software-Defined Networking (SDN). This approa…
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Graph learning approach enhances SDN scalability for LEO mega-constellations
Researchers have developed a new software-defined networking (SDN) framework to manage the immense scale of Low Earth Orbit (LEO) satellite mega-constellations. This approach utilizes graph neural networks (GNNs) to mod…