Method, apparatus and medium for optimizing allocation of switching resources in polymorphic network
US12056533B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 18, 2023 |
| Grant date | Aug 6, 2024 |
| Priority date | — |
| Expiry date | Jul 18, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.