This study reviews machine learning architectures for large-scale forecasting and proposes a scalable forecasting framework consisting of data collection, preprocessing, feature engineering, model training, forecasting, and performance evaluation, indicating that distributed machine learning frameworks improve forecast...
John Peterson· International Journal of Mac...· 0 citations
This study highlights the potential of AI-driven predictive analytics to transform cloud computing from reactive resource management to intelligent, autonomous, and adaptive cloud ecosystems and demonstrates superior prediction accuracy compared to traditional methods.
John Peterson· International Journal of App...· 0 citations
This work proposes a scalable, intelligent, and resilient foundation for next-generation high-performance analytics and data-intensive applications that integrates adaptive resource management, intelligent workload scheduling, dynamic task migration, predictive analytics, and machine learning-based optimization to impr...
John Peterson, L. Martínez· International Journal of App...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.