Due to the enhancements of Internet of Things (IoT) and sensors deployments, the production of big data in Industrial Internet of Things (IIoT) is increased. The accessing and processing of big data become a challenging issue due to the limited storage space, computational time, networking, and IoT devices end. IoT and big data are well thought-out to be the key concepts when describing new information architecture projects. The techniques, tools, and methods that help to provide better solutions for IoT and big data can have an important role to play in the architecture of business. Different approaches are being practiced in the literature for evaluating the role of big data in IIoT. These techniques are not handling the situations when complexity of dependency arises among parameters of the alternatives. The proposed research uses the approach of Analytic Network Process (ANP) for evaluating the role of big data in IIoT. The results show that the proposed research works well for evaluating the role of big data in IIoT.

中文翻译：

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使用分析网络过程方法评估大数据在工业物联网工业物联网中的作用，以执行排名

由于物联网 (IoT) 和传感器部署的增强，工业物联网 (IIoT) 中的大数据产生增加。由于有限的存储空间、计算时间、网络和物联网设备端，大数据的访问和处理成为一个具有挑战性的问题。在描述新的信息架构项目时，物联网和大数据是经过深思熟虑的关键概念。有助于为物联网和大数据提供更好解决方案的技术、工具和方法可以在业务架构中发挥重要作用。文献中正在采用不同的方法来评估大数据在 IIoT 中的作用。这些技术不能处理替代参数之间出现依赖性复杂性的情况。拟议的研究使用分析网络过程 (ANP) 方法来评估大数据在 IIoT 中的作用。结果表明，拟议的研究适用于评估大数据在 IIoT 中的作用。