MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202631015456 A) filed by Dr. Ranjan Kumar Mondal, Bara Kanthalia, West Bengal, on Feb. 12, for 'artificial intelligence driven system for real-time computational resource prediction.'
Inventor(s) include Dr. Ranjan Kumar Mondal.
The application for the patent was published on Feb. 27, under issue no. 09/2026.
According to the abstract released by the Intellectual Property India: "The innovative solution designed to optimize the allocation of computational resources in dynamic, real-time environments. By leveraging advanced artificial intelligence techniques, including machine learning and deep learning, the system analyzes historical and real-time performance data to predict future computational resource demands, such as CPU, memory, storage, and network bandwidth. This predictive capability allows for proactive adjustments to resource allocation, ensuring efficient utilization and minimizing over-provisioning or under-utilization. The system integrates a data acquisition module for collecting performance metrics, an AI prediction engine for demand forecasting, and a resource management controller to dynamically allocate resources based on predictions. It is particularly useful in cloud computing, data centers, and distributed systems where workload patterns fluctuate frequently. This invention enhances system performance, reduces operational costs, and improves user experience by ensuring that computational resources are always aligned with actual demands, enabling greater scalability and efficiency."
Disclaimer: Curated by HT Syndication.
