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Edge computing consists of a decentralized architecture of the cloud [5, 27, 34], enabling it to process the data in the network edge nearer to the source of the data. The edge computing characters that make edge computing more appropriate for applications in the healthcare sector is shown in Figure 4.3.

Spontaneous Response: As the processing of data is done on the edge devices, instant responses are produced in the services. In the healthcare industry, this is one of the lifesaving features.

Bandwidth Utilized Efficiently: as the data is processed in the edge devices, the process of data transmission to the cloud is eliminated, thus improving efficiency of the system and reducing network traffic.

Reliability: The data processing that happens nearer to the end user improves the reliability of edge computing, which is invulnerable to network outage and security threats.

Energy Efficient System: A limited amount of power supply is consumed by end devices, thus those devices are energy constrained. Edge computing brings the data computation nearer to the user end device. Thus usage of edge computing generates energy-efficient systems.

Figure 4.3 Advantages of edge computing.

Scalability: Scalability in edge computing can be achieved in an uncomplicated way, which helps in increasing the count of monitoring patients with a healthcare monitoring system. The capacity of the computing can be expanded by combining the Internet of Things devices with data centers in edge to achieve scalability. If there is a new addition in the end user, no demand of substantial bandwidth is imposed on the network core since the devices of edge computing are capable for processing. The scalability feature makes the edge computing more versatile for applications in the healthcare industry.