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Computation Offloading in Industrial Edge Computing

  • Xiaobo Zhou,
  • Shuxin Ge,
  • Jiancheng Chi,
  • Tie Qiu

摘要

Computation offloading is a key strategy in industrial edge computing, playing a significant role in enhancing efficiency, reducing latency, and optimizing resource utilization. As industries increasingly adopt industrial edge computing to leverage its transformative potential, the understanding and implementation of effective computation offloading strategies become essential. These strategies are crucial to fully enjoy the benefits that industrial edge computing offers for industrial operations. This chapter delves into various computation offloading schemes, highlighting innovative approaches like Adaptive Offloading with Two-Stage Hybrid Matching (ATOM) and Dependent Offloading with DAG-Based Cooperation Gain. These schemes represent advanced methodologies in computation offloading, designed to adapt to the dynamic and complex environments typical in industrial settings.