Hybrid Edge-Cloud Computing Architecture for Real-Time Data Analytics in Industry ۴.۰ Environments

Industry ۴.۰ represents the fourth industrial revolution, characterized by the integration of cyber-physical systems, Internet of Things (IoT), and cloud computing technologies in manufacturing environments. While cloud computing provides virtually unlimited computational resources, the latency introduced by data transmission to remote data centers poses significant challenges for real-time applications in industrial settings. Edge computing has emerged as a complementary paradigm to address these limitations by processing data closer to its source. This paper proposes a novel hybrid edge-cloud computing architecture specifically designed for real-time data analytics in Industry ۴.۰ environments. The architecture employs a hierarchical approach with dynamic workload distribution between edge and cloud layers based on computational requirements, latency constraints, and network conditions. We present a comprehensive framework that integrates data acquisition from industrial IoT devices, edge processing for time-sensitive analytics, and cloud computing for complex, resource-intensive tasks. The proposed architecture incorporates intelligent decision-making mechanisms for workload allocation, fault tolerance strategies, and security measures tailored to industrial requirements. Experimental validation in a real manufacturing environment demonstrates that our hybrid architecture reduces response time by up to ۸۷% for critical tasks while maintaining overall system throughput comparable to cloud-only solutions. Additionally, the architecture achieves ۴۳% bandwidth reduction through edge preprocessing and adaptive compression techniques. Our findings provide valuable insights into the effective integration of edge and cloud computing paradigms for real-time data analytics in Industry ۴.۰, offering a scalable and efficient solution for modern smart manufacturing environments.

کلیدواژه ها:

Edge Computing ، Cloud Computing ، Industry ۴.۰ ، Real-Time Analytics ، Industrial IoT ، Hybrid Architecture ، Smart Manufacturing