A variety of use cases of edge computing, including automation, augmented reality, autonomous driving require predictable communication and compute systems as well as application responsiveness due to the tight integration of the applications with the physical world.
Challenges and goals
The requirements of predictable communication and compute systems must be met despite the openness of edge computing systems, the usage of off-the-shelf components as well as the shared nature of the edge infrastructure.
The predictability project targets fundamental contributions that enable predictable edge computing infrastructures and services. It investigates how predictability is best combined at runtime with relevant applications and what the consequences are for the management of large edge systems.
The activities are centered around three areas.
Data-driven Performance Modeling and Optimization
Device-edge-cloud continuum
Adaptive System Design
Contacts
Project manager
György Dán
Edge computing, Resource management
Profile
Co-project manager
Lei Feng
Mechatronics, Supervisory ctrl, Optimization, Model-checking
Profile
Co-project manager
Elena Fersman
Machine Intelligence, Telecom and distributed systems, R&D, Leadership and management
Co-project manager
James Gross
Wireless, Predictability, Edge computing
Profile
