Edge Computing-Enabled Body Area Networks

G. Aloi, G. Fortino, Raffaele Gravina, P. Pace, Giuseppe Caliciuri
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引用次数: 6

Abstract

Edge computing paradigm has attracted many interests in the last few years as a valid alternative to the standard Cloud-based approaches to reduce the huge amount of data coming from IoT devices toward the Internet. In this direction, the paper proposes BodyEdge, a novel architecture well suited for medical applications in the context of the emerging healthcare industry. The advantages of the designed software platform have been evaluated in terms of reduced bandwidth and processing time through a real testbed on different hardware platforms. The conducted study also discovered the network conditions (data load and processing delay) in which BodyEdge is a valid and inexpensive solution for healthcare application scenarios.
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支持边缘计算的体域网络
边缘计算范式在过去几年中吸引了许多人的兴趣,作为标准的基于云的方法的有效替代方案,可以减少从物联网设备流向互联网的大量数据。在这个方向上,论文提出了BodyEdge,这是一种非常适合新兴医疗保健行业背景下的医疗应用的新型架构。通过在不同硬件平台上的实际测试,评估了所设计的软件平台在减少带宽和处理时间方面的优势。所进行的研究还发现了网络条件(数据负载和处理延迟),在这些条件下,BodyEdge是医疗保健应用场景的有效且廉价的解决方案。
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