New Edge-to-Cloud Orchestrator for Intelligent Task Allocation and Efficiency Optimisation

Modern industrial systems face several challenges in resource allocation, operational efficiency, and scalability, driven by the need for real-time data processing, and sustainable automation. The integration of advanced technologies, including edge-to-cloud (E2C) Artificial Intelligence (AI), digital twins, and blockchain, has created opportunities for innovation while increasing the complexity of orchestration and task distribution. This paper presents a novel E2C orchestrator that optimises task distribution across hybrid infrastructures, addressing the limitations of existing solutions such as static resource allocation and energy inefficiency. By leveraging AI-driven dynamic policies, the orchestrator increases efficiency, reduces latency and ensures robust data protection, in line with Industry 5.0's paradigm which emphasises human-centric and sustainable industrial ecosystems. Key outcomes include improved scalability, adaptability to dynamic workloads, and integration of advanced technologies for real-time responsiveness and operational visibility. This paper presents a new E2C orchestrator, designed to address the abovementioned challenges by facilitating intelligent task allocation and optimising resource management. The proposed solution has been designed for dynamic industrial environments with the aim of guaranteeing efficiency, scalability and security while supporting the transition to more sustainable and human-centred industrial practices. Moreover, this work aims to enable smarter, more adaptive and trustworthy operations, aligning innovation with the broader goals of sustainability and ethical responsibility.