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

Patan Rizwan, M. Rajasekhara Babu, B. Balamurugan, K. Suresh
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引用次数: 6

Abstract

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.
物联网实时大数据计算和网络物理系统辅助医疗设备,提供更好的医疗服务
新一代的系统可能使用集成称为信息物理系统(CPS)。它包括计算、控制和通信能力。人类是如何相互联系的,CPS也与物理对象相互作用。目前,CPS的研究还处于起步阶段,存在许多研究问题。CPS与医疗设备的集成很容易,但处理他们的要求非常快,这是非常困难的。本文提出了基于CPS的医疗器械关联的实时大数据计算。它包括许多网络物理增强安全的物联网(IoT)集成大数据蒸汽计算平台,并详细说明了它们的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的医疗设备。在整体医疗设备计算、通信、控制、资源管理和调度核心中产生高性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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