Changgang-Zheng/Planter
Planter is a modular framework for realising in one-click in-network machine learning algorithms.
Planter helps network engineers and researchers quickly deploy machine learning classification tasks directly within network data planes. You provide a configuration file and your dataset, and Planter automates the process of offloading the classification logic into the network infrastructure. This allows for faster, more efficient processing of network data by leveraging in-network computation.
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Use this if you need to perform machine learning classification on data directly within your network's programmable data plane to improve processing speed and efficiency.
Not ideal if your machine learning tasks are not classification-based or if you do not have access to a programmable data plane in your network infrastructure.
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Jun 13, 2024
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