18209022. MACHINE LEARNING BASED SYSTEM FOR OPTIMIZED CENTRAL PROCESSING UNIT (CPU) UTILIZATION IN DATA TRANSFORMATION (BANK OF AMERICA CORPORATION)

MACHINE LEARNING BASED SYSTEM FOR OPTIMIZED CENTRAL PROCESSING UNIT (CPU) UTILIZATION IN DATA TRANSFORMATION

Organization Name

BANK OF AMERICA CORPORATION

Inventor(s)

Elvis Nyamwange of Little Elm TX (US)

Sailesh Vezzu of Hillsborough NJ (US)

Amer Ali of Jersey City NJ (US)

Rahul Shashidhar Phadnis of Charlotte NC (US)

Rahul Yaksh of Austin TX (US)

Hari Vuppala of Concord NC (US)

Pratap Dande of Saint Johns FL (US)

Brian Neal Jacobson of Los Angeles CA (US)

Erik Dahl of Newark DE (US)

MACHINE LEARNING BASED SYSTEM FOR OPTIMIZED CENTRAL PROCESSING UNIT (CPU) UTILIZATION IN DATA TRANSFORMATION

This abstract first appeared for US patent application 18209022 titled 'MACHINE LEARNING BASED SYSTEM FOR OPTIMIZED CENTRAL PROCESSING UNIT (CPU) UTILIZATION IN DATA TRANSFORMATION

Original Abstract Submitted

Systems, computer program products, and methods are described herein for a machine learning based system for optimized CPU utilization in data transformation. The present disclosure is configured to receive a new data segment; retrieve characteristics of the new data segment; determine, using a trained machine learning model, an encryption algorithm, and a compression algorithm for implementation on the new data segment based on at least the characteristics of the new data segment; determine, using the trained machine learning model, an order of implementation associated with the implementation of the encryption algorithm and the compression algorithm; and implement the encryption algorithm and the compression algorithm on the new data segment in the determined order of implementation.