MUMBAI, India, June 16 -- Intellectual Property India has published a patent application (202611055349 A) filed by Mani Shivhare; Geeta; Durgesh Kumar; Roovi; Renu Mishra; Shweta Kushwaha; Imran Ansari; and Bal Krishna Saraswat, Greater Noida, Uttar Pradesh, on April 30, for 'a dynamic workload distribution system across hybrid cloud infrastructure.'
Inventor(s) include Mani Shivhare; Geeta; Durgesh Kumar; Roovi; Renu Mishra; Shweta Kushwaha; Imran Ansari; and Bal Krishna Saraswat.
The application for the patent was published on June 5, under issue no. 23/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses a dynamic workload distribution system (100) for intelligently scheduling and managing computational workloads across hybrid cloud infrastructure comprising a Private Cloud Layer (200) and a Public Cloud Layer (300). The system comprises a Workload Monitoring Module (110), a Resource Profiling Engine (120), a Machine Learning Scheduler (130) employing LSTM-based demand forecasting and Proximal Policy Optimisation-based reinforcement learning, a Policy Enforcement Engine (140), a Cost Optimisation Module (150), a Hybrid Cloud Orchestrator (160), and a Feedback and Telemetry Controller (170) interconnected via an API Gateway (180). The system continuously profiles workloads, predicts resource demand, validates placement decisions against compliance and cost constraints, executes provisioning and migration operations, and feeds performance deviations as reward signals back to the scheduler, enabling continuous self-improvement. The system achieves optimal resource utilisation, SLA compliance, and cost efficiency across heterogeneous hybrid cloud environments without manual intervention."
Disclaimer: Curated by HT Syndication.
