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John Peterson

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Review Open access 2024

Machine Learning Frameworks for Large-Scale Data Forecasting

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 · 0 citations
Open access 2024

AI-Enabled Workload Prediction for Elastic Cloud Computing Systems

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 · 0 citations
Open access 2025

Self-Adaptive Distributed Computing Models for High-Performance Analytics

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 · 0 citations

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