MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641078271 A) filed by Sivadevuni Sreeparnesh Sharma; Dr. R. Saraswathi; Dr. V. Kalpana; Divyashree Duggegowda; S. Thumilvannan; Dr. Sivakumar R; and S. Alagumuthukrishnan on June 25, 2026, for An Intelligent Cloud Computing Platform For Automated Scaling An Fault Detection.
Inventors include Sivadevuni Sreeparnesh Sharma; Dr. R. Saraswathi; Dr. V. Kalpana; Ragunthar. T; Divyashree Duggegowda; S. Thumilvannan; Dr. Sivakumar R; and S. Alagumuthukrishnan.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: Cloud computing has become a critical technology for delivering scalable and on-demand computing services. However, managing cloud resources efficiently while ensuring system reliability remains a significant challenge due to fluctuating workloads and unexpected failures. This project presents An Intelligent Cloud Computing Platform for Automated Scaling and Fault Detection, which leverages Artificial Intelligence (Al) and Machine Learning (ML) techniques to optimize cloud operations. The proposed platform continuously monitors resource utilization, application performance, and system health metrics to make intelligent decisions regarding resource allocation and fault management. An automated scaling module dynamically adjusts computing resources based on workload demands, ensuring optimal performance and cost efficiency. Simultaneously, a fault detection module analyses operational data to identify anomalies, predict potential failures, and generate timely alerts for corrective actions. By integrating predictive analytics, adaptive learning, and realtime monitoring, the platform enhances scalability, reliability, and availability of cloud services. The proposed solution reduces manual intervention, minimizes downtime, improves resource utilization, and supports the development of self-managing cloud infrastructures capable of meeting modern computing demands.
Disclaimer: Curated by HT Syndication.