MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641080558 A) filed by Narsimha Reddy Engineering College Nrcm on June 30, 2026, for Ai-Based Adaptive Data Compression And Storage Optimization System For Large-Scale Cloud Data Centers (variant Deployment Model).
Inventors include Dr Goree Naga Jyothi Sree; C Koteeswaran; Prasanjit Singh; Muddasani Shravani; Dileep Alluri; and M Sreedhar Reddy.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: An AI-based adaptive data compression and storage optimization system for large-scale cloud data centers is disclosed. The system includes a data ingestion interface (110), workload profiling engine (120), entropy analysis module (130), AI compression selection engine (140), deployment profiling module (150), adaptive storage allocation controller (160), distributed metadata indexing system (170), reinforcement learning optimization engine (180), synchronization controller (190), and integrity verification module (200). The system dynamically selects compression algorithms based on entropy, workload classification, and deployment context. Reinforcement learning optimizes compression parameters using feedback metrics including latency and energy consumption. The invention ensures deployment-aware storage allocation, distributed synchronization, and integrity validation, thereby enhancing scalability, efficiency, and reliability across variant cloud deployment models.
Disclaimer: Curated by HT Syndication.
