MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511115779 A) filed by Dr. Ajay Singh Yadav; Dr. Priyanka Agarwal; Dr. Ritu Sharma; Dr. Nidhi Kumar; Dr. Rashi Agarwal; and Mr. Deep Kamal Sharma, Modinagar, Uttar Pradesh, on Nov. 23, 2025, for 'adaptive multi-objective optimization algorithm for intelligent resource allocation in cloud computing environments.'
Inventor(s) include Dr. Ajay Singh Yadav; Dr. Priyanka Agarwal; Dr. Ritu Sharma; Dr. Nidhi Kumar; Dr. Rashi Agarwal; and Mr. Deep Kamal Sharma.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an Adaptive Multi-Objective Optimization Algorithm (AMOOA) designed for intelligent and efficient resource allocation in cloud computing environments. The invention integrates a Real-Time Sensing Layer for collecting fine-grained telemetry data, a Predictive Analytics Layer for forecasting future workload demands using machine learning models, and an Optimization & Decision Layer that computes optimal resource allocation strategies through evolutionary computation, Pareto-front evaluation, and reinforcement learning. The system continuously learns and adapts through a self-learning feedback loop that refines prediction accuracy and optimization parameters based on actual performance outcomes. By simultaneously optimizing multiple conflicting objectives-including latency, throughput, cost, energy consumption, and SLA compliance-the invention significantly enhances cloud infrastructure performance, sustainability, and reliability. The proposed framework is suitable for deployment in public, private, hybrid, and edge-cloud environments, offering a scalable and future-ready solution for modern distributed computing ecosystems."
Disclaimer: Curated by HT Syndication.
