MUMBAI, India, Oct. 5 -- Intellectual Property India has published a patent application (202641114777 A) filed by Vardhaman College Of Engineering on September 25, 2026, for System And Method For Intelligent Cloud-Resource Allocation Using Workload Prediction.
Inventors include Mr. Vadla Sai Kalyan; Ms. M Bhuvaneswari; Dr. Chadalavada Naga Priyanka; Mr. G Mahender; Ms. M Bharathi; and Ms. Bandari P Soundarya.
The application for the patent was published on October 02, 2026, under issue no. 40/2026.
Abstract: ABSTRACT System and Method for Intelligent Cloud-Resource Allocation Using Workload Prediction The present invention provides a system and method for intelligent cloud-resource allocation with workload prediction. The system ingests workload-state and resource-state telemetry from distributed physical and virtual cloud resources and generates multidimensional workload signatures and multi-horizon predicted workload states. A resource-topology graph models heterogeneous computing, memory, accelerator, network and storage resources and technical interdependencies. Candidate resource topologies for a predicted workload state are generated and evaluated using non-production shadow allocations based on execution latency, resource fragmentation, locality, communication characteristics, provisioning delay and migration overhead. A predictive pre-warming controller reserves or initialises resources based on the prediction confidence. The prediction- allocation divergence is estimated by comparing the observed actual workload-resource behaviour with the predicted state after resource allocation. The identified divergence is used to tune the following workload-to-resource-topology mappings and inhibit superfluous resource reconfiguration. This leads to enhancements in resource usage, provisioning latency, workload execution quality and stability of resource allocation.
Disclaimer: Curated by HT Syndication.
