Rolling-Horizon Cloud-Edge Coordination for Distributed Industrial Internet Systems with Heterogeneous Sensing and Computing Resources
DOI:
https://doi.org/10.66238/smsrj.v4i2.66Keywords:
Department of Computer Science, School of Decision Sciences, The Hang Seng University of Hong Kong, Hong Kong SAR, ChinaAbstract
The rapid evolution of the Industrial Internet of Things has fundamentally transformed modern manufacturing and industrial control systems by interconnecting massive numbers of heterogeneous sensing and computing devices. This paradigm shift introduces significant challenges in managing resources efficiently, particularly when dynamic workloads and stringent latency requirements are involved. This paper proposes a comprehensive rolling-horizon cloud-edge coordination framework designed to optimize the allocation and scheduling of heterogeneous sensing and computing resources in distributed industrial internet systems. By employing a rolling-horizon optimization approach, the system continuously adapts to real-time fluctuations in data generation rates, network conditions, and computational demands, thereby overcoming the limitations of static resource allocation methods. The framework integrates varying capacities of edge devices, ranging from low-power sensors to high-performance edge servers, and orchestrates them in synergy with centralized cloud infrastructure. Through rigorous mathematical formulation and algorithmic design, the proposed methodology balances execution latency, energy consumption, and communication overhead. Comprehensive simulations are conducted to evaluate the performance of the proposed strategy against conventional baseline approaches. The results demonstrate that the rolling-horizon coordination mechanism significantly reduces overall system latency and energy consumption while maintaining high reliability and adaptability in highly dynamic industrial environments.
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