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Achieving cloud resource optimization with trust-based access control: A novel ML strategy for enhanced performance.

Bala Subramanian C¹, Bharathi St¹, Shanmugapriya S¹

¹Computer Science and Engineering, Kalasalingam Academy of Research and Education, Srivilliputhur, India.

|July 18, 2025

Summary

This study introduces AdaPCA, a novel method for cloud resource management. AdaPCA enhances trust-based access control and resource allocation, achieving 99.8% accuracy with reduced latency.

Keywords:

AdaBoost AdaBoost with Principal Component Analysis Cloud computing Dimensionality reduction Machine learning Principal Component Analysis Resource optimization Trust assessment Trust-based access control

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Area of Science:

Cloud Computing
Artificial Intelligence
Cybersecurity

Background:

Cloud computing growth necessitates intelligent, rapid, and secure resource management.
High-dimensional trust data poses challenges for traditional systems.
Existing methods like Decision Trees, Random Forests, and Gradient Boosting have limitations.

Purpose of the Study:

To introduce AdaPCA, a novel hybrid method integrating AdaBoost and PCA.
To enhance trust-based access control and cloud resource allocation decisions.
To maintain a minimal computational burden while improving system performance.

Main Methods:

Developed AdaPCA, combining AdaBoost's adaptive capabilities with PCA's dimensionality reduction.
Conducted simulations comparing AdaPCA against Decision Trees, Random Forests, and Gradient Boosting.
Evaluated performance based on execution time, resource utilization, latency, and trust accuracy.

Main Results:

AdaPCA achieved 99.8% trust score prediction accuracy.
Demonstrated 95% resource utilization efficiency.
Reduced cloud resource allocation time to 140 ms.
Outperformed benchmark models across all evaluated parameters.

Conclusions:

AdaPCA offers superior performance in cloud resource management, including expedited decision-making and optimized utilization.
Represents a significant advancement for intelligent, secure, and adaptable cloud systems.
Provides a scalable architecture for efficient and secure cloud resource management.