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January 1, 2026International Journal of Reasoning-based Intelligent SystemsOpen Access

Distributed model predictive control method for resource clusters with communication delays and resource

Jinhao Shen Hua Zhang Xueneng Su Yinwen Gao Kun Zheng Cheng Long Hangqian Hou

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Key Points

The aim is to explore the effectiveness of distributed model predictive control in managing resource clusters amid communication delays.
Developed a distributed predictive control algorithm for resource management in clusters.
Tested the algorithm under conditions simulating communication delays in resource allocation scenarios.
Evaluated the impact on system performance using relevant metrics.
Improved resource allocation efficiency by 30% compared to traditional methods.
Reduced communication-related delays by 20%, enhancing overall system responsiveness.
Demonstrated scalability for larger cluster sizes without significant loss in performance.

Implication

Analyzes resource allocation in clusters with communication delays, suggesting improvements for efficiency.

Abstract

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Cite This Study

Shen et al. (2026) studied this question.

synapsesocial.com/papers/6a06b95be7dec685947ac03b https://doi.org/10.1504/ijris.2026.10078344

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