Journal article Open Access

On-Demand Orchestration of Services for Health Emergencies Prediction and Mitigation

Sanabria-Russo, Luis; Serra, Jordi; Pubill, David; Verikoukis, Christos

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.

Grant numbers : SPOT5G - Single Point of attachment communications heterogeneous mobile data networks (TEC2017-87456-P) and 5G-Solutions - 5G-Solutions (H2020-ICT-2018-3 // Grant agreement ID: 856691) projects.© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Files (1.2 MB)
Name Size
CURATE_On-Demand Orchestration of Services.pdf
1.2 MB Download
Views 28
Downloads 110
Data volume 132.0 MB
Unique views 24
Unique downloads 106


Cite as