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<p>This study proposes a novel microservices architecture integrating adaptive load balancing and multi-level fault tolerance strategies. By combining Spring Cloud components with Docker containers, the design introduces three high-availability mechanisms: Eureka Health Check, Eureka Cluster, and Application Service Cluster. Experimental validation demonstrates a 20% QoS improvement over monolithic architectures (ZK, LAMP) and outperforms baseline Spring Cloud implementations in throughput (2942 requests/min) and fault recovery time (&lt; 5s). The framework addresses modern industry demands for scalability and resilience, validated through rigorous JMeter testing and AHP-based QoS evaluation.</p>

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Adaptive load balancing and fault-tolerant microservices architecture for high-availability web systems using docker and spring cloud

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年7月1日

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  • Pan Zhang,
  • Lixia Xiang,
  • Zhuo Song,
  • Yuhong Yang

摘要

This study proposes a novel microservices architecture integrating adaptive load balancing and multi-level fault tolerance strategies. By combining Spring Cloud components with Docker containers, the design introduces three high-availability mechanisms: Eureka Health Check, Eureka Cluster, and Application Service Cluster. Experimental validation demonstrates a 20% QoS improvement over monolithic architectures (ZK, LAMP) and outperforms baseline Spring Cloud implementations in throughput (2942 requests/min) and fault recovery time (< 5s). The framework addresses modern industry demands for scalability and resilience, validated through rigorous JMeter testing and AHP-based QoS evaluation.