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Amalgamation of Fog Computing and Software Defined Networking in Healthcare 4.0: The Challenges, and a Way Forward

机译:医疗保健4.0中的雾计算和软件融合的融合:挑战,以及前进的方向

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Rapid recent advances in automated data collection routines have led to a tsunami of health care oriented data stored in the distributed, heterogeneous, and a large databases. Healthcare is one of the pioneering fields that has started using Machine Learning (ML) and IoT (Internet of Things) for increasing life expectancies and decreasing death risks. Since then, major improvements are being witnessed for achieving real-time results and decreasing latency. This work attempts to provide an extensive and objective walkthrough in the direction of adoption of fog computing and software defined networking (SDN) framework for a huge data processing in healthcare domain. Both of these technologies, holds a great promise for the healthcare industry. In this paper, first of all, we survey various communication technologies involved in heathcare and also discuss the need of data processing and its security. Finally, we conclude with future research issues and challenges in this domain.
机译:自动数据收集例程的快速进步导致了存储在分布式,异构和大型数据库中的医疗保健数据的海啸。 医疗保健是使用机器学习(ML)和IOT(物联网)开始的开创性领域之一,以增加寿命期望和降低死亡风险。 从那时起,正在寻求重大改进,以实现实时结果和降低延迟。 这项工作试图在采用雾计算和软件定义网络(SDN)框架中提供广泛而客观的演练,用于医疗域中的巨大数据处理。 这两种技术都对医疗保健行业具有很大的承诺。 在本文中,首先,我们调查了涉及HeathCare的各种通信技术,并讨论了数据处理的需求及其安全性。 最后,我们在这个领域的未来研究问题和挑战中得出结论。

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