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Smart Healthcare and Quality of Service Challenges

机译:智能医疗保健和服务质量挑战

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By increasing intelligence in health services, people's quality of life will improve and access to emergency medical services and care for patients and elderly will be faster and easier. Internet of Things (IoT) services can provide health care to a new generation of skilled services that are highly acclaimed. However, there are challenges in this area. One of these challenges includes assurance quality of service (QoS) due to the high volume of information. The existence of programs that produce a large amount of real-time data in terms of velocity and variety has turned this into a big data problem. To overcome these challenges, the researchers recommend the integration of the cloud and the Internet of Things. Due to this, the patient monitoring system is supported by the recent developments mainly by cloud computing and the IoT paradigms, so the integration of the two paradigm contributes significantly to the provision of more quality of services. This paper presents the characteristics of the cloud and the Internet of Things paradigms, which are used in remote healthcare. In addition, to provide smart health services with the best quality, we need to use cloud and IoT integration services, which is definitely one of the challenges of this area. Therefore, in this paper, first, the challenges of quality of service are expressed in the integration of the cloud and the Internet of Things services. Then, the challenges of QoS in smart healthcare services such as the limitation of use of sensor data, big data, lack of standard methods of quality of service and the complexity of cloud and IoT layers are reviewed based on this integration. Finally, a method for maintaining the quality of service in providing smart healthcare services is proposed.
机译:通过增加卫生服务的情报,人们的生活质量将改善和获取紧急医疗服务,并为患者和老年人提供照顾将更快更容易。物联网(物联网)服务可以为高度好评的新一代熟练服务提供医疗保健。然而,这方面存在挑战。其中一个挑战包括由于信息量大量,提供服务质量(QoS)。在速度和品种方面产生大量实时数据的程序的存在使其变为大数据问题。为了克服这些挑战,研究人员建议整合云和互联网。由此,患者监测系统由云计算和物联网范例的最新发展支持,因此两种范例的整合贡献了提供更多服务质量。本文介绍了遥控器中使用的云和物联网的特点。此外,为了提供具有最优质的智能保健服务,我们需要使用云和物联网集成服务,这绝对是该地区的挑战之一。因此,在本文中,首先,在云的整合和事物互联网的整合中表达了服务质量的挑战。然后,根据这种集成审查了诸如传感器数据的使用限制,大数据,服务质量缺乏标准方法和云和物联网层的复杂性等智能医疗保健服务中QoS的挑战。最后,提出了一种维护提供智能医疗服务的服务质量的方法。

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