MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541124788 A) filed by Vardhaman College Of Engineering, Ranga Reddy, Telangana, on Dec. 10, 2025, for 'adaptive ai-driven query optimization engine for large-scale datastores.'
Inventor(s) include Mr. Bharath A; Ms. M Bhuvaneswari; Dr. Shanthi Makka; Dr. Vasantha S V; Mr. Malladhi Nagarjuna; and Dr. Arikatla Jaya Lakshmi.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "Adaptive AI-Driven Query Optimization Engine for Large-Scale Datastores is the proposed invention. The Adaptive AI-Driven Query Optimization Engine for Large-Scale Datastores is an intelligent system designed to enhance database query performance in highly dynamic and distributed data environments. Unlike traditional rule-based or static cost-based optimizers, this engine leverages machine learning models to analyze historical query behavior, real-time execution feedback, and changing data distributions to automatically identify the most efficient execution plans. It continuously adapts to evolving workloads, resource availability, and datastore architectures optimizing join strategies, indexing decisions, caching mechanisms, and query rewrites. The engine employs reinforcement learning and predictive analytics to proactively detect bottlenecks, reduce latency, minimize computational cost, and improve throughput in big-data, cloud-native, and multi-tenant systems. By eliminating manual tuning and enabling self-optimization, the invention provides a scalable, resilient, and high-performance solution for modern large-scale datastore management."
Disclaimer: Curated by HT Syndication.
