Edge Computing

A computing system that enables local processing of data. It provides safer, latency-free responses to automated devices, such as factory machines, autonomous vehicles, and overall IoT ecosystems.
Technology Life Cycle

Technology Life Cycle


Marked by a rapid increase in technology adoption and market expansion. Innovations are refined, production costs decrease, and the technology gains widespread acceptance and use.

Technology Readiness Level (TRL)

Technology Readiness Level (TRL)

Ready for Implementation

Technology is developed and qualified. It is readily available for implementation but the market is not entirely familiar with the technology.

Technology Diffusion

Technology Diffusion

Early Majority

Adopts technologies once they are proven by Early Adopters. They prefer technologies that are well established and reliable.

Edge Computing

A method of managing workloads and computation, working by placing the workload closer to the data gathering process. With edge computing, data doesn't need to be sent to the cloud to be processed and sent back to the device. By allowing for data processing locally, this approach can be beneficial for connections that demand low latency responses, such as industry 4.0 appliances.

Edge computing is mounted with machine learning algorithms, enabling decision-making without relying entirely on cloud computing. It allows autonomous vehicles, for instance, to work in places with poor connectivity and to make decisions faster. In a factory, each machine could have its edge data processor, thus becoming more reliable and independent of externalities while all devices still communicate with a centralized server.

Other advantages of this approach include the ability to process data with high bandwidth. It increases data protection and privacy as most of the data is never sent back to the cloud. Malicious attacks could, in theory, be more easily stopped by interrupting the internet connection.

Future Perspectives

By allowing machines to process their data locally, without the need for an internet connection or the cloud, we would undeniably be giving greater independence to machines. In a pure science fiction scenario, we can imagine an artificial superintelligence agent, or even a general-purpose robot, mounted with internal edge computing, making it hard to be controlled by humans.

Image generated by Envisioning using Midjourney

This paper examines arguments, observations, experiences and reflections from relevant events and documents that underline IoT and edge consumer, business, industrial sector-specific perspectives based on a review of technology trends. It also recognises potential new innovative concepts and possible obstacles to future research and innovation. In summary
For “the edge” to become as ubiquitous as “the cloud” in the tech industry, a myriad of technical challenges will need to be tackled.
Bringen Sie die IT in die Feldebene mit Edge Computing – einfach, flexibel und sicher für optimale Nutzung von Maschinen- und Anlagendaten.

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