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引用次数: 6
摘要
大多数老年人受到慢性病的挑战,因此需要在老年护理方面进行更多创新。因此,科技和现代技术已被采用,以改善老年人的健康。已经部署了不同的计算解决方案来存储和处理健康数据,例如云计算,它提供了强大的计算资源。然而,将不同类型的东西直接连接到云是低效的。幸运的是,雾计算已经成为一种新的计算解决方案,以补充云计算,它允许计算和数据存储更接近物联网设备。然而,管理存储在雾计算中的健康数据是一个主要问题。在雾计算中,有必要考虑数据的性能、可用性、存储和隐私的重要性。本文提出了一种基于雾到云计算的架构,这是一种新的解决方案和创新方法,有助于增强云和雾计算之间的协同作用,从而促进老年人健康数据的管理。为了分析我们的模型在Fog To Cloud环境下的性能,使用了FogWorkflowSim工具包。
Remote health monitoring system of elderly based on Fog to Cloud (F2C) computing
The majority of older persons are challenged by chronic illnesses, so more innovations are needed for geriatric care. Therefore, technological and modern techniques have been adopted to improve the elderly's health. Different computing solutions have been deployed to store and process the health data such as cloud computing which provides powerful computing resources. However, connecting different kind of things directly to the cloud is inefficient. Fortunately, fog computing has emerged as a new computing solution to complement cloud, it allows computation and data storage closer to the IoT devices. However, managing health data stored in fog computing presents a major issue. It is necessary to consider the importance of performance, availability, storage, and privacy of data in fog computing. In this paper, we propose architecture based on Fog to Cloud computing which is a novel solution and innovative approach that contribute to enhance the synergy between the cloud and fog computing to facilitate the management of elderly health data. To analyze the performance of our model in Fog to Cloud environment, FogWorkflowSim toolkit has been used.