Serverless Based Functions Aware Framework for Healthcare Application

Abstract

These days, the usage of Internet of Medical Things (IoMT) to deal with the different diseases has been increasing with time in the practice. Cloud computing is a paradigm which offers services based on internet to run IoMT application in the efficient way. However, due to long latency, cloud computing introduces fog server which brings service at the edge of hospital network. All existing fog-cloud based system charged servicing rent based on hourly, weekly, monthly, and yearly. The result a lot of cost wastage for the patients whenever, they do not require service, but still, they are paying for rented services. To cope with the useless renting cost, the study devises the serverless function as a service system which offers services to run IoMT application with their usage instead of resource provisioning as existing studied exploited in the system. The virtual machine based healthcare charged based on hour, week, month, and year, and however, healthcare sensors need service at specific time. Therefore, there is a lot cost of services in the ideal time where services are free but users paid money due to rent from providers. This paper suggests serverless function as a service based system which charge only for usage instead of renting cost for execution inside system. Simulation results shows that, the proposed system not only minimize the IoMT application cost but improved the resource utilization of the system

A Systematic Review and IoMT Based Big Data Framework for COVID-19 Prevention and Detection

“…Realizing the need for security and privacy, especially in the healthcare context, we would be willing to undertake the extension of this framework by incorporating a security and privacy layer in the future. Keeping in view the importance of scheduling and task management in remote healthcare [117][118][119][120][121][122][123][124][125][126][127], we intend to incorporate this feature in the framework. Moreover, this framework is by no means limited to COVID-19, it has the potential to be utilized for all remote healthcare solutions that can be shown in further studies.…”