MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202521110479 A) filed by Akshatha Chaitenya Jain; Laxmikant Avinash Manchekar; Leena Rakesh Jadhav; Rohini Mano Desai; and Hrishikesh Mangesh Tendulkar, Maharashtra, on Nov. 12, 2025, for 'intelligent carbon-aware job scheduling system for optimized energy utilization in distributed computing environments.'
Inventor(s) include Akshatha Chaitenya Jain; Laxmikant Avinash Manchekar; Leena Rakesh Jadhav; Rohini Mano Desai; and Hrishikesh Mangesh Tendulkar.
The application for the patent was published on Dec. 12, under issue no. 50/2025.
According to the abstract released by the Intellectual Property India: "[031] The present invention discloses an Intelligent Carbon-Aware Job Scheduling System designed to minimize the carbon footprint of distributed and cloud computing environments through AI-driven workload management. The system integrates real-time and predictive carbon intensity data with machine learning-based optimization to schedule and migrate computational tasks to regions or time windows with lower carbon emissions. It comprises a Carbon Data Acquisition Module for collecting energy mix data, an AI Decision Engine for forecasting carbon trends, and a Multi-Objective Optimization Unit that balances factors such as performance, cost, latency, and sustainability. The system further includes a dynamic Workload Orchestrator and a Monitoring and Feedback Mechanism that continuously refine scheduling decisions using adaptive learning. By proactively aligning computational activities with renewable energy availability, the invention significantly enhances energy efficiency, promotes green computing practices, and supports carbon-neutral operations across cloud, edge, and hybrid infrastructures."
Disclaimer: Curated by HT Syndication.
