Planning and diagnosis tool
The check-up for edge computing
Will the data be transferred fast enough? Where must the next server be located? Does feedback come in time? These questions are crucial for digitization processes, autonomous driving and the use of virtual and augmented reality. A research project aims to provide the answers.
The »EMULATE« project is part of an »Important Project of Common European Interest« (IPCEI). The project aims to develop a planning and diagnostic tool for data transmission processes. A digital test environment to test the (radio) connection between terminals and servers in a branched network and guarantee smooth transmission processes. »In less complex environments with less demanding services, such as a warehouse with automated goods recognition and control, it is sometimes sufficient to roughly estimate these data transmission processes,« says Prof. Dr. Stephan Recker, professor of IT system integration at the Department of Computer Science at Dortmund University of Applied Sciences.
Outside a hall, the world is more complex, new users come along, interference factors play a role. With conventional methods, there would be no certainty before completion whether the system would work. »In emulation, we can try out use cases with ultra-low latency without anyone having to shell out a euro for hardware and lines,« emphasizes Prof. Recker. This saves costs and resources. Particularly in the field of edge computing, decentralized data processing for data-intensive services such as autonomous driving and virtual reality, the »EMULATE« tool is expected to make planning much easier and advance it throughout Europe.
»At the same time, we will be able to optimize existing networks in the future with the 'EMULATE' diagnostic platform,« adds Prof. Dr. Rolf Schuster. He also teaches at the Department of Computer Science and is an expert in embedded software. AI technology helps identify patterns in the data streams and thus, at best, prevent errors. The research project will run until the end of 2026, with Dortmund University of Applied Sciences collaborating with partners from industry.
