MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202641105355 A) filed by George Zacharia on September 01, 2026, for Cloud Computing Resource Management System With Predictive Workload Scaling For Dynamic Service Continuity.
Inventor includes George Zacharia.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: Cloud Computing Resource Management System with Predictive workload scaling for Dynamic service continuity ABSTRACT The present invention discloses a cloud computing resource management system with predictive workload scaling for maintaining dynamic service continuity across distributed computing environments. The system continuously monitors real-time and historical workload parameters, including processor utilization, memory consumption, network traffic, storage demand, application response time, transaction volume, and service performance indicators. A predictive analytics engine analyzes the collected data using statistical, machine- learning, or artificial intelligence techniques to forecast future workload variations and corresponding resource requirements. Based on the predicted demand, a resource orchestration module proactively allocates, scales, migrates, redistributes, or releases computing, storage, and network resources before service performance is adversely affected. The system further includes a service continuity mechanism configured to coordinate load balancing, health verification, workload replication, failover, traffic redirection, and session management during resource adjustments or infrastructure failures. A feedback module evaluates prediction accuracy and adapts subsequent scaling decisions based on actual resource utilization. The disclosed system thereby reduces dependence on reactive threshold-based scaling, minimizes overprovisioning and resource shortages, improves infrastructure utilization, reduces latency and operational costs, and enhances scalability, resilience, fault tolerance, and uninterrupted delivery of cloud-based services under dynamically changing workload conditions.
Disclaimer: Curated by HT Syndication.
