Abstract
Digitalization and networking are taking on an increasingly important role in manufacturing. Fifth Generation mobile networks (5G) allow us to wirelessly connect multiple assets in factories with guaranteed quality of service (QoS). A 5G non-public network (5G-NPN) realizes a dedicated network with secure communication within the factory. Time-sensitive networking (TSN) provides deterministic connectivity and reliability in local networks. Edge computing moves computing power near factory locations, reducing the latency of edge applications. Making production processes more flexible, more robust, and resilient induces a great challenge for integrating these technologies. This paper presents the benefits of the joint use of 5G-NPN, TSN, and edge computing in manufacturing. To that end, first, the characteristics of the technologies are analyzed. Then, the integration of different 5G-NPN deployment options with edge (and cloud) computing is presented to provide end-to-end services. For enhanced reliability, ways of interworking between TSN and edge computing domains are proposed. Afterward, as an example realization of edge computing, the investigation on the capabilities of the Kubernetes container orchestration platform is presented together with the gap analysis for smart manufacturing requirements. Finally, the different integration options, interworking models, and Kubernetes-based edge computing are evaluated to assist smart factories to use these new technologies in combination in the future.
Highlights
Smart manufacturing is a technology-driven approach that utilizes advanced manufacturing technologies and tools driven or enhanced by integrated information technology.The goals are manifold and diverse, such as making innovation and the manufacturing process more manageable, providing more flexible production, responding in real time to meet changing demands and conditions, making the manufacturing system collaborative, environmentally effective, etc.In the strict sense, manufacturing is the fabrication of goods to be sold, and industry has a broader meaning that includes the production of goods, the related ecosystems, and related services, too
The mobile network operator (MNO) can orchestrate the resources required for the PNI-non-public networks (NPN), as well as a Kubernetes can be offered to manage the placement of the enterprise customer application workloads
This paper focused on various interworking aspects of 5G non-public network (5G NPN), Time-sensitive networking (TSN), and the edge computing domains in order to provide an integrated end-to-end solution for industry use cases
Summary
Smart manufacturing is a technology-driven approach that utilizes advanced manufacturing technologies and tools driven or enhanced by integrated information technology. The computing tasks are executed closer to the end users or devices in terms of geographical and network proximity This allows for delivering levels of latency and throughput that are not possible with cloud computing. The evolving edge computing and networking technologies (TSN, 5G) make it possible to offload industrial control applications to edge computing to provide control loops with tight delay requirements, too. Providing an end-to-end solution for smart manufacturing is not straightforward This paper fills this gap by identifying and analyzing interworking aspects of different fields of communication and computing, i.e., 5G, TSN, and the edge computing domains, to deliver smart manufacturing and suggests approaches and technical aspects to enable the realization of such systems by evaluating different scenarios. The paper discusses and concludes the main findings and outlook regarding the tight integration of different technology domains in the manufacturing scenario
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