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 proposed framework considers the intended data-sharing use case, the policies associated, and infrastructure configurations, then provision Service Function Chaining (SFC) and provides routing configurations accordingly with little to no human intervention. Moreover, what is \textit{optimal} when deploying SFC is dependent on the use case itself, and we tune the hyperparameters to prioritise resource utilisation or latency in an effort to comply with the performance requirements. As a result, we provide an adaptive network orchestration for digital health twin use cases, that is policy-aware, requirements-aware, and resource-aware.

翻译：数字孪生（DT）是医疗保健领域中极具前景且可部署的重要技术。然而，此类应用面临的主要挑战包括：严格的数据共享政策、高性能网络需求以及可能的基础设施资源限制。本文通过配置自适应虚拟网络功能（VNF）来强制执行与不同数据共享场景相关的安全策略，从而应对上述所有挑战。我们在多节点集群网格基础设施之上定义了一个云原生网络编排器，用于实现灵活且动态的容器调度。所提出的框架在考虑预期数据共享用例、相关策略以及基础设施配置后，能够近乎无需人工干预地提供服务功能链（SFC）并据此生成路由配置。此外，SFC部署中的“最优”方案取决于具体用例本身，我们通过调整超参数优先考虑资源利用率或延迟，以符合性能要求。最终，我们为数字健康孪生用例提供了一种自适应网络编排方案，该方案兼具策略感知、需求感知和资源感知特性。