MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202641007152 A) filed by Pragati Engineering College, Peddapuram, Andhra Pradesh, on Jan. 24, for 'system and method for real-time cloud-based application deployment and scaling.'
Inventor(s) include Mrs. V Anantha Lakshmi; Mrs. Kotteti Santosh Rupa Manjusha; K Sri Vanaja Geetha; B Naga Jahnavi; and K Suganya.
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: "System and Method for Real-Time Cloud-Based Application Deployment and Scaling The present disclosure relates to a system and method for real-time cloud computing application deployment and scalability model that uses hardware as a cognitive controller. The cloud computing application is deconstructed into execution graphs and execution units by a cloud system, which then monitors the real-time state of the underlying physical computing infrastructure (such as processor usage, memory latency, etc.) to create a profile of the application in the cloud environment. Based on the characteristics and types of stress being placed on each physical computing system, a cloud system not only controls the flow of results produced in one execution unit to be directly fed into the input parameters of other connected execution units, but also controls how many independent execution processes will be used at any given time based on the timing requirements of the end-user experience. This patent also describes state preserves and live migration of cloud computing applications, state-preserving deployment adjustments, state-preserving live migration of cloud computing applications, and on-the-fly adaptive binary re-binding based on target hardware characteristics. By allowing for runtime-generated execution graphs, this patent provides a predictive alternative to existing reactive resource orchestration mechanisms, and achieves a higher level of performance than existing approach, including reduced latency, increased execution stability, optimized compute resource allocation and zero downtime for deployment. In conclusion, this patent provides a technologically advanced, scalable, and industrially applicable means for the integration of heterogeneous cloud and edge computing environments."
Disclaimer: Curated by HT Syndication.
