MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202541084672 A) filed by Madhankumar C; Dr. A. Kousalya; Dr. Manikandan S; Mr. Shabarish N; Ms. Lavanya G; K. Nithya; R. Divya; and Mr. C. Mathankumar, Pollachi, Tamil Nadu, on Sept. 6, 2025, for 'intelligent multi-layered data orchestration framework for adaptive it infrastructure management.'
Inventor(s) include Dr. A. Kousalya; Dr. Manikandan S; Mr. Shabarish N; Ms. Lavanya G; K. Nithya; R. Divya; and Mr. C. Mathankumar.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "Intelligent Multi-Layered Data Orchestration Framework for Adaptive IT Infrastructure Management Abstract The exponential growth of enterprise-scale IT infrastructure has created significant challenges in managing heterogeneous resources, ensuring real-time adaptability, and achieving optimized service delivery. This paper proposes an Intelligent Multi-Layered Data Orchestration Framework designed to streamline infrastructure management by integrating advanced analytics, adaptive decision making, and automated orchestration techniques. The framework employs a hierarchical, multi-layered architecture that classifies and processes data across infrastructure, application, and service layers, enabling seamless coordination and interoperability. Machine learning-driven intelligence is embedded within each layer to dynamically analyze workload patterns, predict anomalies, and adapt resource allocation strategies. The framework emphasizes accuracy through predictive modeling that reduces false alarms and enhances incident detection. By leveraging real-time orchestration mechanisms, the system achieves high performance in workload balancing, fault tolerance, and service continuity. Automated feedback loops ensure consistent improvements in decision accuracy and system efficiency, minimizing energy consumption and operational costs. Moreover, the multi-layered approach enhances output quality by aligning infrastructure resources with dynamic user and application demands, thus supporting business continuity and scalability. Experimental evaluation across simulated enterprise environments demonstrates that the proposed framework outperforms conventional infrastructure management systems by reducing latency, improving throughput, and achieving significant gains in efficiency. The orchestration layers provide modular adaptability, allowing organizations to evolve their IT infrastructure in response to fluctuating workloads and emerging technologies. Overall, this framework establishes a foundation for next-generation adaptive IT infrastructure management with improved reliability, agility, and sustainability."
Disclaimer: Curated by HT Syndication.
