MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641063286 A) filed by Dr. Madhavi Karumudi; Dr. K Shravani; B Prasanthi; Dr. Neelima Gogineni; and Dr. Raveendranadh Bokka, Hyderabad, Telangana, on May 19, for 'ai-driven intelligent load balancing and resource optimization system for distributed cloud server networks.'
Inventor(s) include Dr. Madhavi Karumudi; Dr. K Shravani; B Prasanthi; Dr. Neelima Gogineni; and Dr. Raveendranadh Bokka.
The application for the patent was published on May 29, under issue no. 22/2026.
According to the abstract released by the Intellectual Property India: "The present invention discloses an AI-driven intelligent load balancing and resource optimization system for distributed cloud server networks configured to dynamically manage computational workloads across interconnected cloud infrastructures. The system comprises a workload monitoring module, a predictive analytics engine, an adaptive load balancing controller, a resource orchestration module, a fault detection and recovery engine, a cybersecurity framework, and a real-time optimization engine operating cooperatively for enhancing cloud infrastructure efficiency and reliability. The invention utilizes artificial intelligence and machine learning algorithms for analyzing real-time and historical operational data to predict workload demand, identify congestion conditions, optimize resource allocation, and autonomously distribute workloads among distributed cloud servers. The system further supports dynamic resource scaling, intelligent workload migration, fault detection, automated failover management, energy-aware optimization, and cybersecurity threat mitigation within hybrid cloud, edge cloud, and multi-cloud computing environments. The disclosed invention improves server utilization, reduces latency, minimizes operational costs, enhances fault tolerance, strengthens infrastructure security, and ensures uninterrupted service availability for enterprise applications, Internet of Things ecosystems, artificial intelligence platforms, and large-scale distributed computing systems."
Disclaimer: Curated by HT Syndication.
