The industrial ecosystem has been unprecedentedly affected by the COVID-19 pandemic because of its immense contact restrictions. Therefore, the manufacturing and socio-economic operations that require human involvement have significantly intervened since the beginning of the outbreak. As experienced, the social-distancing lesson in the potential new-normal world seems to force stakeholders to encourage the deployment of contactless Industry 4.0 architecture. Thus, human-less or less-human operations to keep these IoT-enabled ecosystems running without interruptions have motivated us to design and demonstrate an intelligent automated framework. In this research, we have proposed “EdgeSDN-I4COVID” architecture for intelligent and efficient management during COVID-19 of the smart industry considering the IoT networks. Moreover, the article presents the SDN-enabled layer, such as data, control, and application, to effectively and automatically monitor the IoT data from a remote location. In addition, the proposed convergence between SDN and NFV provides an efficient control mechanism for managing the IoT sensor data. Besides, it offers robust data integration on the surface and the devices required for Industry 4.0 during the COVID-19 pandemic. Finally, the article justified the above contributions through particular performance evaluations upon appropriate simulation setup and environment.

由于巨大的接触限制，工业生态系统受到 COVID-19 大流行的空前影响。因此，自疫情爆发以来，需要人为参与的制造和社会经济运营已受到重大干预。根据经验，潜在的新常态世界中的社交距离课程似乎迫使利益相关者鼓励部署非接触式工业 4.0 架构。因此，为了让这些支持物联网的生态系统不间断地运行而进行的人工操作或人工操作促使我们设计和展示了一个智能自动化框架。在这项研究中，我们提出了“EdgeSDN-I4COVID”架构，用于在考虑物联网网络的智能行业的 COVID-19 期间进行智能高效管理。而且，本文介绍了支持 SDN 的层，例如数据、控制和应用程序，以从远程位置有效且自动地监控 IoT 数据。此外，SDN 和 NFV 之间的拟议融合为管理物联网传感器数据提供了一种有效的控制机制。此外，它还在 COVID-19 大流行期间提供了强大的表面数据集成和工业 4.0 所需的设备。最后，本文通过在适当的模拟设置和环境下的特定性能评估证明了上述贡献。它在 COVID-19 大流行期间提供了强大的表面数据集成和工业 4.0 所需的设备。最后，本文通过在适当的模拟设置和环境下的特定性能评估证明了上述贡献。它在 COVID-19 大流行期间提供了强大的表面数据集成和工业 4.0 所需的设备。最后，本文通过在适当的模拟设置和环境下的特定性能评估证明了上述贡献。