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Predictability

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

Gyorgy Dan

György Dán
Edge computing, Resource management
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Co-project manager

Lei Feng

Lei Feng
Mechatronics, Supervisory ctrl, Optimization, Model-checking
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Co-project manager

Elena Fersman

Elena Fersman
Machine Intelligence, Telecom and distributed systems, R&D, Leadership and management

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Co-project manager

James Gross

James Gross
Wireless, Predictability, Edge computing
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