Secure AI-Driven QoS Orchestration for Cloud-Edge
Università degli Studi di Catania in Italy invites candidates for a research position focused on secure, adaptive and QoS-aware orchestration of microservice- and Digital Twin-based applications across the cloud-edge continuum.
The work leverages Digital Twins with AI/ML for threat detection and proactive defence, plus predictive workload placement and migration strategies, validated in smart mobility scenarios.
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The work leverages Digital Twins with AI/ML for threat detection and proactive defence, plus predictive workload placement and migration strategies, validated in smart mobility scenarios.
#J-18808-Ljbffr