A Novel CostEfficient Framework for Critical Heartbeat Task Scheduling Using the Internet of Medical Things in a Fog Cloud System Recently, there has been a cloudbased Internet of Medical Things (IoMT) solution offering different healthcare services to wearable sensor devices for patients. These services are global, and can be invoked anywhere at any place. Especially, electrocardiogram (ECG) sensors, such as Lead I and Lead II, demands continuous cloud services for realtime execution. However, these services are paid and need a lower costefficient process for the users. In this paper, this study considered critical heartbeat costefficient task scheduling problems for healthcare applications in the fog cloud system. The objective was to offer omnipresent cloud services to the generated data with minimum cost. This study proposed a novel health care based fog cloud system (HCBFS) to collect, analyze, and determine the process of critical tasks of the heartbeat medical application for the purpose of minimizing the total cost. This study devised a health care awareness costefficient task scheduling (HCCETS) algorithm framework, which not only schedule all tasks with minimum cost, but also executes them on their deadlines. Performance evaluation shows that the proposed task scheduling algorithm framework outperformed the existing algorithm methods in terms of cost.

Health Fog for Smart Healthcare Internet of Things (IoT) and sensing have led to significant improvements in the delivery of healthcare. IoT can extend its scope by accessing cloud resources. Cloud, on the other hand, can also enhance its services from the data collected from healthcare IoTs. However, IoT and the cloud are generally physically distant from each other making it a challenge to provide services with specific requirements (such as fast response time, less computeintensive processing). To address these requirements, we need some type of middleware technology such as a fog which resides between the cloud and IoT ecosystem. We describe how fog enables cloudIoT convergence and can be deployed to achieve smart healthcare. We present a few use cases where the use of fog can improve healthcare delivery. Finally, we discuss relevant issues and opportunities that must be considered in the future in order to realize the smart healthcare vision.