Читать книгу Fog Computing - Группа авторов - Страница 23

Healthcare is one of the top-five application domains in fog computing that has potential market value up to $2737 billion by year 2022 [33]. Specifically, IoMT applications, which commonly rely on the central cloud for managing data and performing decision-making, are now distributing certain tasks to the intermediate gateways. In particular, IoMT applications broadly utilize UEs (e.g. smartphones, tablets, etc.) as the gateways of wearable body sensors, in order to let the IoMT servers (e.g. hospital) acquire the sensory data anytime, anywhere from the patients. Further, considering the need of agile sensory data stream processing when the patients are in outdoor areas, which may not be able to maintain a high-quality network connection, utilizing the infrastructural fog (e.g. hosted at the cellular base station or ISP's Wi-Fi access points [APs]) can highly improve the overall agility of the data processing and identification of emergency situations. Moreover, considering modern UEs have powerful central processing units (CPUs) and decent storage spaces when the infrastructural fog is unavailable, the processes can also migrate to UEs to support the service continuity [34].

Figure 1.4 UE fog computing examples. (See color plate section for the color representation of this figure)