公开(公告)号：US12056533B2

公开(公告)日：2024-08-06

申请号：US18354601

申请日：2023-07-18

Applicant: ZHEJIANG LAB

Inventor： Huifeng Zhang ,  Congqi Shen ,  Tao Zou ,  Jun Zhu ,  Ruyun Zhang ,  Qi Xu ,  Hanguang Luo ,  Xingchang Guo

IPC: G06F9/46 ,  G06F9/50 ,  G06N20/00

CPC classification number: G06F9/5038 ,  G06N20/00

Abstract: A method, an apparatus and a medium for optimizing allocation of switching resources in the polymorphic network. The method selects the ASIC switching chip, FPGA and PPK software switching on the polymorphic network element based on machine learning, and specifically comprises the following steps: manually pre-configuring, formulating basic rules for polymorphic software and hardware co-processing; offline learning, designing training configuration in the offline learning stage to capture different switching resource usage variables, running experiments to generate the original data of a training classifier, and using the generated performance indices to train the model offline; and online reasoning, obtaining switching resource allocation advises, and updating modality codes according to the switching resource allocation advises.