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BodyCloud: Integration of Cloud Computing and body sensor networks

机译:BodyCloud:云计算和人体传感器网络的集成

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Spatially distributed sensor nodes can be used to monitor systems and humans conditions in a wide range of application domains. A network of body sensors in a community of people generates large amounts of contextual data that requires a scalable approach for storage and processing. Cloud computing can provide a powerful, scalable storage and processing infrastructure to perform both online and offline analysis and mining of body sensor data streams. This paper presents BodyCloud, a system architecture based on Cloud Computing for the management and monitoring of body sensor data streams. It incorporates key concepts such as scalability and flexibility of resources, sensor heterogeneity, and the dynamic deployment and management of user and community applications.
机译:空间分布的传感器节点可用于在广泛的应用领域中监视系统和人体状况。人群中的人体传感器网络会生成大量上下文数据,这需要可伸缩的存储和处理方法。云计算可以提供强大的,可扩展的存储和处理基础架构,以执行在线和离线分析以及人体传感器数据流的挖掘。本文介绍了BodyCloud,这是一种基于云计算的系统架构,用于管理和监视人体传感器数据流。它包含了关键概念,例如资源的可伸缩性和灵活性,传感器异构性以及用户和社区应用程序的动态部署和管理。

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