MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202541133430 A) filed by Dr. V. Rasikha; Dr. J. Vanitha; and Dr. S Parameswari, Seerapalayam, Tamil Nadu, on Dec. 30, 2025, for 'universal edge-cloud orchestration framework for autonomous data processing.'
Inventor(s) include Dr. V. Rasikha; Dr. J. Vanitha; and Dr. S Parameswari.
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 invention discloses a universal edge-cloud orchestration framework for autonomous data processing across heterogeneous device, edge, fog, and cloud environments. The framework models applications as graphs of data processing operators connected by typed streams and annotated with high-level intents, including latency bounds, throughput targets, privacy levels, energy budgets, and cost constraints. A topology and policy layer maintains a dynamic representation of available compute, storage, and network resources, their locations and capabilities, and applicable governance policies, such as data residency and tenant isolation. A control and optimization layer implements closed-loop orchestration by continuously monitoring infrastructure and application metrics and using rule-based and AI-assisted optimization techniques to decide where each operator executes, how it scales, and when it migrates. A platform adapter layer translates high-level orchestration decisions into concrete actions on diverse cloud and edge platforms, including container orchestrators, lightweight runtimes, and IoT gateways, thereby achieving platform-agnostic control. The framework further incorporates data-aware orchestration that understands data schemas, sensitivity labels, and lineage, enabling joint optimization of compute placement and data routing, caching, and anonymization strategies. This allows sensitive data to remain at the edge while aggregated or anonymized results are shared with cloud analytics and global optimization services. By combining intent-based modeling, multi-layer orchestration, AI-driven optimization, and data-aware control, the invention provides a comprehensive solution for deploying and managing autonomous data processing applications in dynamic, large-scale edge-cloud environments, improving latency, efficiency, scalability, and governance compared with existing approaches."
Disclaimer: Curated by HT Syndication.
