Telemedicine, or the ability granted to doctors to remotely assist patients has been greatly benefited by advances in IoT, network communications, Machine Learning and Edge/Cloud computing. With the impeding arrival of 5G, virtualized infrastructures and cloud-native approaches enable the execution of unprecedented procedures during such patient/doctor interactions, allowing medical professionals to e.g. request higher granularity metrics from patients’ telemetry equipment, or perform on-demand data mining/processing of patient’s stored data in order to provide a more educated diagnostic or prediction. In this work we coalesce the virtues of virtualized infrastructures and IoT into a solution able to satisfy increasing data processing demands for eHealth, e.g. for telemedicine applications, remote assistance or patient pre-screening procedures. The proposed platform, CURATE, leverages Network Functions Virtualisation Management and Orchestration (NFV MANO) for the on-demand instantiation of the required virtual resources on the operator’s infrastructure, as well as the concept of 5G Network Slices to guarantee efficient resource allocation and tenant isolation. Results show the proposed platform is able to efficiently make use of the available hardware resources via Network Slices, as well as provide cost-effective service guarantees employing dynamic scaling operations.

中文翻译：

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CURATE：卫生紧急情况预测和缓解服务的按需编排

物联网、网络通信、机器学习和边缘/云计算的进步极大地受益于远程医疗或授予医生远程协助患者的能力。随着 5G 的到来，虚拟化基础设施和云原生方法能够在此类患者/医生交互期间执行前所未有的程序，允许医疗专业人员例如从患者的遥测设备请求更高粒度的指标，或执行按需数据挖掘/处理患者存储的数据以提供更有根据的诊断或预测。在这项工作中，我们将虚拟化基础设施和物联网的优点结合成一个解决方案，能够满足电子医疗日益增长的数据处理需求，例如远程医疗应用、远程协助或患者预筛查程序。提议的平台 CURATE 利用网络功能虚拟化管理和编排 (NFV MANO) 按需实例化运营商基础设施上所需的虚拟资源，以及 5G 网络切片的概念，以保证有效的资源分配和租户隔离. 结果表明，所提出的平台能够通过网络切片有效地利用可用的硬件资源，并通过动态扩展操作提供具有成本效益的服务保证。