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Research on adaptive distributed optimal resource allocation consistency algorithm in WAN environment.

Ling Sun1

  • 1School of Economics and Management, Nanjing Vocational University of Industry Techonology, Nanjing, 210023, Jiangsu, China. suzi03344946917@163.com.

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|November 21, 2025
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Summary
This summary is machine-generated.

This study introduces an adaptive algorithm for optimal resource allocation in wide-area networks (WANs). It enhances throughput and resource utilization, especially in low-bandwidth conditions, by reducing reliance on global data.

Keywords:
Consistency algorithmDistributedOptimal resourcesResource allocationSelf-adaptationWAN environment

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Area of Science:

  • Computer Science
  • Network Engineering

Background:

  • Wide-area networks (WANs) face challenges in resource allocation due to increasing nodes and complex conditions.
  • Traditional algorithms struggle with scalability due to reliance on global information.

Purpose of the Study:

  • To propose an adaptive distributed optimal resource allocation consistency algorithm for WANs.
  • To improve resource allocation efficiency and scalability in complex network environments.

Main Methods:

  • Developed an adaptive algorithm using a time window distribution and information coding model.
  • Integrated Q-learning and an extended Paxos algorithm for global consistency.
  • Dynamically adjusted resource allocation based on real-time network conditions.

Main Results:

  • Demonstrated superior performance in low-bandwidth WANs (< 2 Mb/s), significantly enhancing throughput.
  • Achieved an average resource utilization rate exceeding 97%.
  • Exhibited rapid convergence and high parallelism in resource allocation.

Conclusions:

  • The proposed algorithm offers an effective and scalable solution for distributed resource allocation in WANs.
  • Reduced dependence on global data improves performance in challenging network conditions.