Intellectual Property India Publishes Patent Application for A Machine Learning-Based Intelligent Cloud Cost Optimization System For Dynamic Resource Allocation And Cost Prediction

MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202641092003 A) filed by Sr University on July 29, 2026, for A Machine Learning-Based Intelligent Cloud Cost Optimization System For Dynamic Resource Allocation And Cost Prediction.

Inventors include Dr. Sridhar Reddy Vulapula; and Dr. Pramod Kumar Poladi.

The application for the patent was published on August 07, 2026, under issue no. 32/2026.

Abstract: ABSTRACT Disclosed herein is a machine learning-based intelligent cloud cost optimization system (100) for dynamic resource allocation and cost prediction that comprises a dashboard and user interface (102), a cloud monitoring interface (104), a billing data collection unit (106), a historical data repository (108), a communication network (110), a memory unit (112), a processing unit (114), a cloud API integration unit (136), and an automatic resource scaling unit (138). The processing unit (114) comprises a data pre-processing module (116), a feature engineering module (118), a resource utilization analysis module (120), a workload prediction module (122), a cost forecasting module (124), a pricing model evaluation module (126), a cost optimization module (128), a recommendation generation module (130), a decision engine module (132), and a continuous learning module (134) configured to pre-process cloud data, predict workload demand, forecast cloud costs, optimize resource allocation, and continuously update machine learning models.

Disclaimer: Curated by HT Syndication.