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.
Edge computing, Resource management
Mechatronics, Supervisory ctrl, Optimization, Model-checking
Machine Intelligence, Telecom and distributed systems, R&D, Leadership and management
Wireless, Predictability, Edge computing