A Full Replicas-Based Data Store Scheme Inspired by Targeted Immunization of the Epidemic Theory in Smart Manufacturing
Yang Lu, Yan Zheng, Wei Peng Jing, Wei Xiang · IEEE Transactions on Industrial Informatics · 2023
Cloud data centers (CDCs) have been used as the basic platforms for data storage in industrial scenarios such as smart manufacturing. However, a lack of effective data storage schemes exacerbates reading latency and replicas' inconsistency in the machine tools of smart factories. In this article, we propose a full-replicas scheme (FRS) to attain the low-latency reading and high data consistency required in smart manufacturing. First, inspired by the susceptible–infectious–recovered epidemic model, the network bandwidth usage generated by the FRS is adjusted by the targeted immunization principle. Then, the final breakout rate is derived as a function of the immunization rate, which can reduce the complexity of target immunization implementation in scale-free networks. Finally, the experimental results confirm our theoretical analysis and show that the FRS provides strong consistency with lower client-side reading latency.