MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202511132252 A) filed by Graphic Era Hill University, Dehradun; and Graphic Era, Dehradun, Uttarakhand, on Dec. 26, 2025, for 'a system and method for adaptive self-healing of cloud infrastructures utilizing multi-agent architecture, lstm-based fault prediction, autoencoder anomaly detection, reinforcement learning, and a healing efficiency index.'
Inventor(s) include Vandana Bhandari; Yuvraj Kabadwal; Raj Basnet; Dr. Chandradeep Bhatt; and Dr. Anupam Singh.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "The invention pertains to cloud infrastructure management and introduces a system that employs a plurality of autonomous monitoring agents (10) for real-time telemetry data acquisition connected to a predictive analytics module (20) with an LSTM network for time-series fault forecasting. An anomaly detection module (30) using autoencoder neural networks reconstructs data to identify deviations from normal operations, while a fault classification unit (40) correlates predictive and anomalous outputs to classify faults. A reinforcement learning decision-making layer (50) dynamically selects recovery actions based on reward signals, and a feedback learning loop (60) with a HEI module (62) quantifies healing performance, which is fed back to optimize system predictions and responses. This integrated approach ensures adaptive, automated self-healing of cloud infrastructures through continuous, secure real-time interaction."
Disclaimer: Curated by HT Syndication.
