A Code Caching Method for Industrial Software Services

In the context of the Industrial Internet of Things (IIoT), industrial software services have significantly revolution-ized conventional industrial manufacturing processes by inte-grating cutting-edge IIoT technologies. The Programmable Logic Controller (PLC) serves as the core execution unit, facilitating the fusion of conventional industrial systems with IIoT technologies. In PLC environments, domain-specific translation tools can convert advanced PLC languages, such as Structured Text (ST), into C source code, thereby streamlining the integration of control systems. However, throughout the translation endeavor, certain code segments may necessitate recurrent translation, leading to sub-optimal resource utilization. In view of this challenge, in this paper, we propose a Recommendation-based Code Caching Method (RCCM) for industrial software services to reduce the repetitive translation results and improve the overall efficiency of translation processes. Through the analysis of user access history data, the recommendation algorithm offers suitable policies for cache replacement. Finally, the experimental results demonstrate that the RCCM outperforms existing caching policies in improving system throughput significantly.