Can we create a decentralized cloud system?

Edge computing - computing at the edge of the network

The use cases for edge computing usually originate from the IoT environment and, like the concept of a decentralized cloud architecture, are currently still future projects. An important growth driver for edge computing technology is increasing Demand for real-time communication systems. Decentralized data processing is classified as a key technology for the following projects:

  • Car-to-car communication
  • Smart grid
  • Smart Factory

In the future, a “connected car” will be more than just a vehicle with an Internet connection. The future of mobility promises cloud-based early warning systems based on a Car-to-car communication and even completely autonomous vehicles. The prerequisite for this is an infrastructure that enables data to be exchanged in real time between the vehicles and communication points on the route.

The power grid of the future will also be adaptive and, thanks to decentralized energy management systems, automatically adapt to fluctuations in power. Become a key technology Smart grids as part of the energy transition. Because the switch to renewable energies poses new challenges for power grids. Instead of a few centralized large-scale producers, numerous smaller and decentralized electricity producers have to be connected to storage facilities and end consumers.

Thanks to solar panels, some of the latter even become electricity generators themselves. Intelligent networks therefore not only transport electricity, but also provide data on its generation, storage and consumption. This enables everyone involved to react to changes in real time. The aim is to keep power grids stable despite increasing complexity and to make them more efficient through intelligent load control. New cloud concepts such as edge and fog computing are required in order to be able to record, save and process the resulting mass of data in the shortest possible time.

As Smart Factory is called self-organizing production facilities and logistics systems - ideally, these no longer require any human intervention. An intelligent factory is practically a system of networked devices, machines and sensors that communicate with one another via the Internet of Things to handle manufacturing processes. The communication system of the smart factory even includes the finished product and can therefore automatically react to supply and demand.

With the help of AI systems and machine learning, maintenance processes and production optimization can be automated. This requires an IT infrastructure that can evaluate large amounts of data and react to unforeseen events without delay. Classic cloud systems failed because of the latency problem. Fog and edge computing architectures solve this problem through distributed data processing.