MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511117263 A) filed by Ms. Shivani Tyagi; Ms. Amita Pathania; Ms. Urvashi Sharma; Ms. Monika Mehra; Dr. Atul Pratap Singh; Dr. Sonia Arora; Dr. Manali Gupta; Ms. Bandana Kumari; Ms. Nisha; and Mr. Yaduvir Singh, Greater Noida, Uttar Pradesh, on Nov. 26, 2025, for 'token based session enabled algorithm for predictive analytics for cloud based load balancing.'
Inventor(s) include Ms. Shivani Tyagi; Ms. Amita Pathania; Ms. Urvashi Sharma; Ms. Monika Mehra; Dr. Atul Pratap Singh; Dr. Sonia Arora; Dr. Manali Gupta; Ms. Bandana Kumari; Ms. Nisha; and Mr. Yaduvir Singh.
The application for the patent was published on Jan. 9, under issue no. 02/2026.
According to the abstract released by the Intellectual Property India: "The present invention relates to a token-based session enabled algorithm for predictive analytics for cloud-based load balancing. The invention provides a unified framework that incorporates a unique session token mechanism with machine-learning-driven predictive models to proactively manage workload distribution in distributed cloud systems. The token ensures seamless maintenance of user session continuity during dynamic migration across cloud nodes, while the predictive analytics module forecasts server load based on real-time and historical data. The system intelligently routes incoming requests to optimal servers before congestion occurs, resulting in reduced latency, enhanced scalability, high availability, and improved resource utilization. This invention overcomes limitations of traditional reactive load balancing by enabling a proactive, session-aware, and highly efficient cloud management solution."
Disclaimer: Curated by HT Syndication.
