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In the era of Industry 4.0, integrating advanced technologies is transforming production processes while posing critical challenges regarding integration, security and scalability in industrial environments. This paper presents a hybrid microservices-based architecture that combines edge node execution with centralised cloud coordination (E2C) to address these challenges. The main innovation stems from the integration of orchestration, alert management and monitoring tools to provide self-healing and self-correcting mechanisms. Through con-trolled experiments that simulate overload and saturation scenarios, this paper validates the effectiveness of self-healing and self-correction mechanisms that proactively mitigate failures and reduce recovery times without manual intervention. The results confirm the feasibility of a zero-touch approach, laying the foundations for a more efficient and sustainable industrial automation, paving the way towards Industry 5.0.

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Hybrid Architecture Implementing Self-Healing Mechanisms for Distributed AI Network Management in Industry

  • 会议论文

  • 发表日期：

    2026年

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  • María Boluda-Prieto,
  • Miguel A. Mateo-Casalí,
  • Francisco Fraile,
  • Faustino Alarcón

摘要

In the era of Industry 4.0, integrating advanced technologies is transforming production processes while posing critical challenges regarding integration, security and scalability in industrial environments. This paper presents a hybrid microservices-based architecture that combines edge node execution with centralised cloud coordination (E2C) to address these challenges. The main innovation stems from the integration of orchestration, alert management and monitoring tools to provide self-healing and self-correcting mechanisms. Through con-trolled experiments that simulate overload and saturation scenarios, this paper validates the effectiveness of self-healing and self-correction mechanisms that proactively mitigate failures and reduce recovery times without manual intervention. The results confirm the feasibility of a zero-touch approach, laying the foundations for a more efficient and sustainable industrial automation, paving the way towards Industry 5.0.