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
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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
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