CRSM: Computation Reloading Driven by Spatial-Temporal Mobility in Edge-Assisted Automated Industrial Cyber-Physical Systems

Xin Niu, Chen Yu, Hai Jin

Abstract: Edge Computing, as an emerging computing mode, transfers computing capacity from the cloud center to the edge of new generation automation sensor networks. However, the surge in the number of sensor devices has resulted in the edge server overload. Fortunately, with the development of hardware technology, the computing capacity of sensor devices has improved. Therefore, we introduce a new concept of computation reloading, that is, resource-rich servers allocate tasks to sensor devices with stronger computing capacity. Most previous real-time EC researches have not considered sensor devices’ higher spatial–temporal mobility, which results in continuous computation migration and high delay. In this article, we expose a computation reloading scheme driven by spatial–temporal mobility (CRSM), for single time slice and multiple time slices cases, computation tasks are allocated in advance by predicting sensor devices locations. The experiments demonstrate that our scheme outperforms other methods in terms of shorting industrial cyber-physical systems delays.