基于雾计算的协同制造数据存取策略  

Collaborative manufacturing data access strategy based on fog computing

作　　者：栗文超 梁玉旋 孙浩 杨怡 付利霞 LI Wenchao;LIANG Yuxuan;SUN Hao;YANG Yi;FU Lixia(AECC Commercial Aircraft Engine Co.,Ltd.,Shanghai 200241,China)

机构地区：[1]中国航发商用航空发动机有限责任公司,上海200241

出　　处：《电子设计工程》2024年第22期22-26,共5页Electronic Design Engineering

基　　金：民用飞机专项科研项目(MJZ4-2N21)。

摘　　要：云雾协同作为一种新兴的分布式计算框架,在复杂制造业领域有着广泛的应用,但其在资源分配以及安全性能方面仍存在较大不足。文中基于云雾混合架构提出了一种资源分配最优化和安全增强算法,实现了更低的时延和更优的安全性能。在资源分配最优化算法中,构建了时延与资源数据模型,同时针对粒子群算法的不足,使用二进制算法及混沌映射进行改进,从而对目标函数进行优化。通过引入同态加密算法防止了传输过程中的数据泄露。在实验测试中,所提算法时延对比PSO与BPSO分别降低了6.54 s和4.1 s,安全测试在所有对比算法中为最优,证明其充分发挥了云雾协同架构的优势,具有较强的工程实用价值。Cloud fog collaboration,as an emerging distributed computing framework,has a wide range of applications in complex manufacturing,but it still has significant shortcomings in resource allocation and security performance.A resource allocation optimization and security enhancement algorithm based on a cloud fog hybrid architecture is proposed in the article,achieving lower latency and better security performance.In the resource allocation optimization algorithm,a delay and resource data model was constructed.At the same time,to address the shortcomings of particle swarm optimization,binary algorithms and chaotic maps were used to improve the objective function.Homomorphic encryption algorithm is introduced to prevent data leakage in the process of transmission.In experimental testing,the proposed algorithm reduced latency by 6.54 s compared to PSO and 4.1 s compared to BPSO,respectively.The security test was the best among all the compared algorithms,demonstrating that it fully utilizes the advantages of cloud fog collaborative architecture and has strong engineering practical value.

关 键 词：云雾混合架构 粒子群优化算法 同态加密 混沌映射 大规模协同制造 数据传输 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TN929.5[自动化与计算机技术—计算机科学与技术]