A Converged Cloud-Fog Architecture for Future eHealth Applications

Xuan-Thuy Dang, Ricardo Knauer, Sebastian Peters, F. Sivrikaya
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引用次数: 1

Abstract

Recent advances in mobile communication, mobile cloud, and Internet of Things (IoT) technologies are transforming various vertical application domains. Particularly eHealth ser-vices are expected to take advantage of those enabling technolo-gies to evolve towards remote, patient-centric, and individualized care. In this work, we study the role of the fifth generation mobile technology (5G) as an integrator for various enablers to create a converged infrastructure for future eHealth applications. We first analyze high-impact and industry-driven eHealth use cases and identify challenges. We then propose a reference architecture for a future eHealth infrastructure, which is a fusion of cloud, edge, IoT, and other emerging technologies. Finally, to evalu-ate the proposed architecture, we implement a remote patient monitoring service comprising the architecture components and enablers, i.e., mobile device sensors and distributed intelligent data analysis. The evaluation shows an effective integration of artificial intelligence (AI) components to support novel eHealth applications.
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面向未来电子健康应用的融合云雾架构
移动通信、移动云和物联网(IoT)技术的最新进展正在改变各种垂直应用领域。特别是电子医疗服务有望利用这些技术向远程、以患者为中心和个性化的护理方向发展。在这项工作中,我们研究了第五代移动技术(5G)作为各种推动者的集成商,为未来的电子健康应用创建融合基础设施的作用。我们首先分析高影响和行业驱动的电子医疗用例,并确定挑战。然后,我们为未来的电子医疗基础设施提出了一个参考架构,该架构融合了云、边缘、物联网和其他新兴技术。最后,为了评估所提出的体系结构,我们实现了一个远程患者监测服务,该服务包括体系结构组件和使能器,即移动设备传感器和分布式智能数据分析。评估显示了人工智能(AI)组件的有效集成,以支持新的电子健康应用。
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