MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541123654 A) filed by Anurag Engineering College, Suryapet, Telangana, on Dec. 8, 2025, for 'ai-driven resource allocation system for adaptive edge computing networks.'
Inventor(s) include Y. Laxmi Prasanna; and Anusha Merugu.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to an AI-driven resource allocation system designed for adaptive edge computing networks that require dynamic, low-latency, and energy-efficient processing. The system integrates intelligent monitoring modules, real-time workload analysis engines, and machine-learning-based optimization models to allocate computational, storage, and network resources across distributed edge nodes. By utilizing predictive analytics, the system forecasts workload fluctuations, user demand patterns, and network conditions to proactively adjust resource distribution. A multi-layer orchestration framework enables coordinated decision-making between edge, fog, and cloud layers, supporting seamless scalability and resilience. The invention further incorporates a reinforcement-learning controller that optimizes resource usage through continuous feedback, reduces congestion, and enhances service reliability. Additionally, the system includes a security validation layer to ensure trust-based resource sharing among heterogeneous nodes. Overall, the invention delivers an adaptive, autonomous, and efficient resource management solution capable of improving performance, minimizing latency, and supporting diverse applications in next-generation edge computing environments."
Disclaimer: Curated by HT Syndication.
