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Real-time big data computing for Internet of Things and cyber physical system aided medical devices for better healthcare

机译:用于物联网和网络物理系统的实时大数据计算辅助医疗设备,可提供更好的医疗保健

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摘要

The new generation of systems are may using integration called cyber-physical system (CPS). It includes computational, control and communication capabilities. How humans are interconnected to the each other, CPS also interact physical objects as well. Currently, the study of CPS is still in its initial stages and there exist many research issues. The CPS integrating with medical devices is easy but handling their quires very quickly it is very difficult. In This paper proposed Real-Time big data computing for CPS enabled medical device association. It includes the many cyber physical enhanced secured Internet of things (IoT) integrated Big data steam computing platforms, and their architecture and its application to the Medical device monitoring and decision support systems is specified. Finally, a medical device associated with big data stream computing platforms. Produce high performance in overall medical device computing, communication, control, resource management and scheduling cores.
机译:新一代系统可能会使用称为网络物理系统(CPS)的集成。它包括计算,控制和通讯功能。人与人之间如何相互联系,CPS还可以与物理对象进行交互。目前,CPS的研究仍处于起步阶段,存在许多研究问题。与医疗设备集成的CPS很容易,但是非常迅速地处理其需求非常困难。本文提出了用于启用CPS的医疗设备关联的实时大数据计算。它包括许多集成了网络物理增强安全物联网(IoT)的大数据蒸汽计算平台,并详细说明了其架构及其在医疗设备监控和决策支持系统中的应用。最后,是与大数据流计算平台相关联的医疗设备。在整个医疗设备的计算,通信,控制,资源管理和调度核心中产生高性能。

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