Systems and methods for blockchain network optimization
US11792136B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 30, 2022 |
| Grant date | Oct 17, 2023 |
| Priority date | — |
| Expiry date | Jun 30, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L47/83
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In some aspects, a computing system may use time series data and machine learning to determine an efficient time to send data to a blockchain. A machine learning model may use a variety of blockchain related data to predict a network usage costs for different times in the future. The predicted network usage costs may be used to determine when data should be sent for storing on the blockchain to reduce network resource costs for a computing system. For example, based on inputting the blockchain data into the machine learning model, a computing system may generate output indicating network usage costs for a future time period, with each network usage cost corresponding to a timestamp within the future time period. The computing system may determine a minimum network usage cost of the network usage costs and send data to a node in the blockchain network at the corresponding timestamp.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.