MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641064364 A) filed by Aditya University, Surampalem, Andhra Pradesh, on May 21, for 'machine learning-driven data prioritization engine for low-latency cloud applications.'
Inventor(s) include Dr. Chintureena Thingom; and Dr. Thangjam Ravichandra.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "A machine learning-driven data prioritization engine for low-latency cloud applications is disclosed. The invention comprises a data ingestion module configured to receive heterogeneous data streams from cloud servers, edge devices, IoT systems, and distributed application platforms. A feature extraction engine analyzes contextual metadata including latency sensitivity, network congestion, bandwidth utilization, application type, and historical processing characteristics. A machine learning prioritization engine generates dynamic priority scores for incoming data streams using predictive analytics models. Based on the generated scores, a scheduling and orchestration controller allocates computational resources and processing queues while an intelligent routing module selectively routes high-priority traffic through optimized low-latency communication paths. A feedback optimization module continuously retrains the machine learning models using operational performance metrics. The invention improves response times, reduces network congestion, enhances workload distribution efficiency, and supports scalable cloud and edge computing infrastructures for real-time application environments."
Disclaimer: Curated by HT Syndication.
