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June 17, 2026International Journal of Cloud Computing

Optimizing Cloud Resources Using Hidden Markov Models

Islem Teboub Amar Aïssani

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Key Points

This research aims to enhance the efficiency of cloud resource management through hidden Markov models.
Utilized hidden Markov models to analyze cloud resource usage patterns.
Implemented algorithms for resource allocation based on predictive modeling.
Evaluated the performance improvements in resource optimization.
Achieved a 20% increase in resource allocation efficiency (p<0.05).
Demonstrated a significant reduction in response times by 15% (95% CI 10-20%).
Observed improved system scalability under varying loads.

Implication

Demonstrates optimization of cloud resources using hidden markov models, indicating improved efficiency.

Abstract

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Cite This Study

Teboub et al. (2026) studied this question.

synapsesocial.com/papers/6a34dff765a5b0777af2edf7 https://doi.org/10.1504/ijcc.2027.10079208

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