Device-edge-cloud continuum

The objective of this thrust of work is to develop models and tools for providing predictability for edge computing systems in the context of an infrastructure.

A key aspect of system wide predictability is the interaction between the network core and the edge systems, for instance with respect to orchestration and network slicing.

Further challenges arise from automating resource reservation and task allocation in large edge infrastructures, for instance with respect to load balancing, life-cycle management, detection and mitigation of latency/reliability anomalies while preserving the predictability properties for the running applications. The work in this subproject leverages methodologies from systems theory, optimization theory, as well as game theory.


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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