MUMBAI, India, July 13 -- Intellectual Property India has published a patent application (202641081756 A) filed by Sr University on July 02, 2026, for A Hybrid Deep Learning And Reinforcement Learning System For Multi- Objective Energy-Aware Cloud Task Scheduling.
Inventors include M. Amareswar; and Dr Sudha Rani V.
The application for the patent was published on July 10, 2026, under issue no. 28/2026.
Abstract: ABSTRACT Disclosed herein are a hybrid deep learning and reinforcement learning system (100) for multi-objective energy-aware cloud task scheduling, the system (100) comprises a renewable energy forecasting module (102) configured to receive historical renewable energy generation data, meteorological data, and cloud infrastructure operational parameters. The system also includes a task characterization module (104) configured to receive cloud workload information. The system also includes a reinforcement learning-based scheduling module (106) configured to determine an optimal task allocation policy. The system also includes a multi- objective optimization module (108) configured to evaluate and optimize scheduling decisions. The system also includes a cloud resource management module (110) configured to allocate and execute tasks on virtualized or physical computing resources according to the optimized scheduling decisions.
Disclaimer: Curated by HT Syndication.
