MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641025435 A) filed by Heena Kousar; Arun Kumar S; Dr. Rajani K C; and Dr. Chandramouli H, Bengaluru, Karnataka, on March 4, for 'an automated and artificial intelligence enabled framework for improving reliability in distributed and multi-cloud computing environments.'
Inventor(s) include Heena Kousar; Arun Kumar S; Dr. Rajani K C; and Dr. Chandramouli H.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "An AI-powered, self-healing cloud architecture is capable of automatically detecting, predicting, and resolving system or node failures in real time. By leveraging machine learning algorithms, the system continuously monitors performance metrics to identify early indicators of infrastructure degradation. When a potential failure is detected, an orchestration engine dynamically redistributes workloads to healthy nodes and initiates recovery processes, ensuring uninterrupted service availability. A feedback-driven learning module enhances adaptive fault management by refining predictive models based on historical recovery data. Designed for distributed and multi-cloud environments, the framework reduces manual intervention, strengthens system reliability, and minimizes downtime. The solution can be implemented using AI platforms such as TensorFlow or PyTorch, alongside cloud-native technologies like Kubernetes and Docker. Overall, the system offers an intelligent, scalable, and energy-efficient approach to achieving autonomous cloud resilience."
Disclaimer: Curated by HT Syndication.
