Adaptive Services Function Chain Orchestration For Digital Health Twin Use Cases: Heuristic-boosted Q-Learning Approach. (arXiv:2304.12853v1 [cs.NI])

Digital Twin (DT) is a prominent technology to utilise and deploy within the
healthcare sector. Yet, the main challenges facing such applications are:
Strict health data-sharing policies, high-performance network requirements, and
possible infrastructure resource limitations. In this paper, we address all the
challenges by provisioning adaptive Virtual Network Functions (VNFs) to enforce
security policies associated with different data-sharing scenarios. We define a
Cloud-Native Network orchestrator on top of a multi-node cluster mesh
infrastructure for flexible and dynamic container scheduling. The …

address applications cases challenges cloud cloud-native cluster container data digital digital twin dynamic framework function functions health healthcare health data high infrastructure main mesh network node orchestration performance policies requirements sector security security policies services sharing technology use cases virtual