MUMBAI, India, Feb. 27 -- Intellectual Property India has published a patent application (202641018555 A) filed by Ramachandra College Of Engineering, Eluru, Andhra Pradesh, on Feb. 18, for 'ai-driven approach automation for dynamic resource allocation in multi-cloud systems.'
Inventor(s) include K. Jeevana Jyothi; S. Anantha Kranthi; and Dr. Jarabala Ranga.
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: "In the rapidly evolving landscape of cloud computing, managing resources across multiple cloud providers presents significant challenges due to varying workloads, costs, and performance metrics. This invention introduces a novel AI-driven automation framework called Adaptive Multi-Cloud Resource Orchestrator (AMRO), which leverages a hybrid model combining swarm intelligence algorithms and predictive analytics to dynamically allocate resources in real-time. Unlike traditional methods, AMRO employs particle swarm optimization (PSO) enhanced with deep reinforcement learning (DRL) to simulate collective decision-making, enabling proactive scaling and migration of workloads while minimizing latency and energy consumption. The framework achieves up to 35% improvement in resource utilization efficiency and 25% reduction in operational costs, as demonstrated through simulations on heterogeneous cloud environments. By incorporating adaptive feedback loops and anomaly detection via graph-based modelling, AMRO ensures robust handling of unpredictable demands, making it suitable for applications in edge computing, IoT ecosystems, and large-scale data processing."
Disclaimer: Curated by HT Syndication.
