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In the dynamic landscape of modern network systems, effective network traffic management is crucial to ensure seamless data transfer. Fuzzy logic-based load balancing has gained attention for its ability to address complexities and uncertainties in traffic distribution. This paper explores the theoretical foundations and practical applications of fuzzy logic in load balancing, highlighting its role in mitigating congestion and improving network reliability. Effective network traffic management is essential in the digital age, where connectivity and data exchange are fundamental. Load balancing is a critical component, ensuring reliable service delivery and optimal resource utilization. Fuzzy logic enhances decision-making, leading to improved performance and reliability.

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Fuzzy Logic-Based Load Balancing for Network Traffic Management

  • 会议论文

  • 发表日期：

    2025年

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  • Suneel Laxmipuram,
  • Mohammad Shahbaz Khan,
  • Prasad Janga,
  • B. Ravi Kumar,
  • Eruva Aparna,
  • Kaidapuram Mounika

摘要

In the dynamic landscape of modern network systems, effective network traffic management is crucial to ensure seamless data transfer. Fuzzy logic-based load balancing has gained attention for its ability to address complexities and uncertainties in traffic distribution. This paper explores the theoretical foundations and practical applications of fuzzy logic in load balancing, highlighting its role in mitigating congestion and improving network reliability. Effective network traffic management is essential in the digital age, where connectivity and data exchange are fundamental. Load balancing is a critical component, ensuring reliable service delivery and optimal resource utilization. Fuzzy logic enhances decision-making, leading to improved performance and reliability.