A Real-time Computation Task Reconfiguration Mechanism for Industrial Edge Computing

The growth of massive generated data from the industrial field results in performance reduction on network bandwidth, real-time response, and communication latency. For distributed industrial automation systems, edge computing suits better than cloud computing from real-time constraints purpose. Furthermore, the integration of OPC UA in edge computing nodes improves interoperability and compatibility. This paper focuses on computation task reconfiguration issues among physically neighboring nodes based on OPC UA. Considering the high real-time requirement in industrial edge computing, a task reconfiguration mechanism is proposed and a real-time workload reallocation algorithm for optimization without any iteration process. Finally, a case study on a triplex reciprocating pump with a multi-class faults simulation model proves that it can improve task execution efficiency without worsening classification accuracy much.