MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202641007149 A) filed by Pragati Engineering College, Peddapuram, Andhra Pradesh, on Jan. 24, for 'system and method for workflow automation and process management in computing environments.'
Inventor(s) include Mr. Akella Yeswanth; Mr. V Vsarath; Jonnakuti Naga Charishma; Jyothika Devi Manimala Medisetti; and Ranganadham Chandra Dorababu.
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 Workflow Automation and Process Management in Computing Environments The present disclosure relates to a system and a method for automating computer workflows and managing processes at the hardware level through the execution of dynamically configured workflows. This system obtains real-time values of various hardware and system characteristics such as Processor Utilization, Memory Access Latency, and I/O Contentions. It also encodes tasks associated with a workflow into a dynamically configurable structure for execution. Through the computation of execution entropy Parameters, the system identifies those tasks and strategies in a Workflow that induce instability or friction at running the workflow. Additionally, through the collection of correlated telemetry data from Hardware Telemetry and Execution Entropy, the system can adaptively alter workflow execution characteristics during the execution through the re-sequencing of Workflow tasks, establishing new task execution dependencies, and maximizing parallel processing and resource allocation without interrupting execution. Finally, the method provides for the synchronization of workflow execution to the real time of all of the hardware providing feedback to the workflow and permits the persistent storage of all workflow execution states, permitting validation, rollback and fault recovery. By establishing a cyber and physical feedback process with the Workflow and its underlying computing resources, the current disclosure creates improved execution stability and reduced latency, optimized resource utilization and improved Fault Tolerance as compared with traditional static workflow automation systems."
Disclaimer: Curated by HT Syndication.
