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 5.0s 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.