About the project
The increasing industrial use of applications with real-time processing capabilities such as autonomous driving, augmented reality, distributed management of smart grids or the control of unmanned aerial vehicles will make intensive use of processing power at the edge of existing communication networks. In other words, the data will be processed close to its origin and not in distant cloud data centers.
Edge computing has become a widely accepted concept over the last decade, encompassing both public commercial solutions and private customized solutions for specific requirements. However, potential users of applications with real-time quality of service requirements often lack appropriate tools to either assess the suitability of public edge service offerings or to plan, design and build their own customized edge computing solution.
EMULATE aims to provide two platforms that should be an integral part of such a toolbox:
- An emulation platform that makes it possible to create a virtual copy of an existing physical environment. Various deployment scenarios for the respective real-time application can be tested within this emulated environment.
- A diagnostic platform that analyzes existing physical and emulated infrastructures and provides meaningful performance metrics to assess their suitability for defined application requirements.
Both contributed platforms are extensively tested together with partners from various industry segments such as telecommunications, automotive and embedded electronics systems.
The implementation and testing of these tools for the effective and efficient management of an edge service involves cutting-edge research in a variety of subject areas:
- Modeling virtual computer systems and hypervisors, including graphics processing units, to accurately replicate their performance in emulated environments.
- Analyzing different networking solutions for different environments in terms of their impact on the end-to-end performance of edge services.
- Defining new measurement approaches for performance diagnostics in black box systems
- Application of artificial intelligence in the detection of performance patterns to identify bottlenecks in end-to-end systems
- Identifying optimized resource allocation approaches for industrial and non-industrial applications
The individual contributions to the project will be delivered in six work packages by the end of 2026:
Work package 1 - Edge emulation platform
Work Package 2 - Edge Diagnostics Platform
Work package 3 - Edge QoS management and algorithms
Work package 4 - Concept validation at infrastructure level
Work package 5 - Concept validation at the application level
Work package 6 - Dissemination
The EMULATE project has just started. There are more than 15 attractive positions to be filled. If you are interested, apply now .
Contact & Team
Prof. Rolf Schuster, Dr.
- +49 231 91126710
Thursdays 14:15 - 15:50
Prof. Stephan Recker, Dr.
- +49 231 91126710
by arrangement