Abstract
Fog computing environment is geographically dispersed and diverse heterogeneous devices are associated ubiquitously to it towards the end of a system so as to give cooperatively variable and adaptable communication, storage devices, and computation. Fog computing has numerous recompenses and is well-matched for the applications, wherein time-sensitivity, higher response time, and lower latency are absolutely important factors, particularly healthcare applications. These applications also have lot of challenges such as need of remote monitoring of patients, need of preventive instead of reactive care, etc. In many studies, cloud computing was shown to be well suited for healthcare applications, but with advent of fog computing, fog computing imposes more advantages as compared to cloud computing. Many studies showed that fog computing is well-matched for healthcare applications as it facilitates low latency, higher response time, reliability, scalability, location awareness, better security and privacy of health data, fault tolerance, etc. This study is divided into collection of frameworks developed for healthcare application with respect to fog computing and collection of proposed architectures and implemented systems for the same. Researchers have shown through simulations and experiments that the main factor in healthcare application is reduced latency which should be achieved by means of fog computing.
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Nair, A.R., Tanwar, S. (2021). Fog Computing Architectures and Frameworks for Healthcare 4.0. In: Tanwar, S. (eds) Fog Computing for Healthcare 4.0 Environments. Signals and Communication Technology. Springer, Cham. https://doi.org/10.1007/978-3-030-46197-3_3
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DOI: https://doi.org/10.1007/978-3-030-46197-3_3
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