Lu, Yang, Zheng, Yan, Jing, Wei Peng, and Xiang, Wei (2024) A Full Replicas-Based Data Store Scheme Inspired by Targeted Immunization of the Epidemic Theory in Smart Manufacturing. IEEE Transactions on Industrial Informatics, 20 (2). pp. 2200-2212.

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Abstract

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.

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