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PREVENTING DAMAGE TO FLOWS IN AN SDN FABRIC BY PREDICTING FAILURES USING MACHINE LEARNING
PREVENTING DAMAGE TO FLOWS IN AN SDN FABRIC BY PREDICTING FAILURES USING MACHINE LEARNING
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机译:通过使用机器学习预测故障来预防SDN织物中的损坏
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摘要
In one embodiment, a supervisory device for a software defined networking (SDN) fabric predicts a failure in the SDN fabric using a machine learning-based failure prediction model. The supervisory device identifies a plurality of traffic flows having associated leaves in the SDN fabric that would be affected by the predicted failure. The supervisory device selects a subset of the identified plurality of traffic flows and their associated leaves. The supervisory device disaggregates routes for the selected subset of traffic flows and their associated leaves, to avoid the predicted failure.
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