Celligence International LLC (20250023794). PREDICTIVE NORMALIZATION FOR BLOCKCHAIN RESOURCE MANAGEMENT
PREDICTIVE NORMALIZATION FOR BLOCKCHAIN RESOURCE MANAGEMENT
Organization Name
Inventor(s)
Gabriel Albors Sanchez of San Juan PR US
Jonathan Ortiz Rivera of San Juan PR US
Thomas Smith of Guaynabo PR US
PREDICTIVE NORMALIZATION FOR BLOCKCHAIN RESOURCE MANAGEMENT
This abstract first appeared for US patent application 20250023794 titled 'PREDICTIVE NORMALIZATION FOR BLOCKCHAIN RESOURCE MANAGEMENT
Original Abstract Submitted
systems and methods are provided for leveraging a normalization algorithm to optimize resource allocation dynamically. the algorithm detects deviations that indicate potential increases in demand. this predictive capability allows the system to scale resources proactively, adding signer nodes when necessary to handle increased transaction volumes. by normalizing transaction data and using it to predict and respond to changes in system demand, blockchain networks can maintain optimal performance and efficiency, preventing service degradation and ensuring scalability in a cost-effective manner.
