Edge computing is a technology developed in the context of high bandwidth, time-sensitive, and Internet of Things integration. For the Internet of Things, breakthroughs in edge computing technology means that many controls will be realized through local devices without having to hand over to the cloud. The process will be completed at the local edge computing layer. This will greatly improve processing efficiency and reduce the load on the cloud. Because it is closer to the user, it can also provide users with a faster response and solve the demand at the edge.
What is the next step for edge computing? Integrating multiple systems on a single multi-core processor can reduce cost, power consumption and space, but due to resource sharing, it may also bring real-time performance challenges. People also hope to reduce costs and increase flexibility by moving traditional industrial network functions from hardware to software implementation. However, these problems are solved by using separate kernel hypervisors to realize the security and safe sharing of multi-core processors, and redefining the second layer of the automation pyramid (the monitoring layer is driven by software). Referring to a real example of a car manufacturer greatly improving its quality control process, these companies can deploy data analysis workloads, communication protocol conversion, and control workloads on the same platform without affecting performance. May also discuss the specific performance measurement of the virtual PLC architecture to verify that this is a viable industry path. Finally, it will prove that the combination of these technologies can help Industry 4.0 and edge computing shift from experimental to everyday.