The Internet of Things is an everlasting topic in the industry. A large number of enterprises plan to incorporate smart devices and sensors into the business model of the Internet of Things, so the amount of data worldwide is increasing year by year. Edge computing, on the other hand, can process data generated by Internet of Things (IoT) devices closer to the data-generating endpoint than to the data center or the cloud. Companies can use this technology to get closer to the edge of the network and analyze critical data in real time at close range.

Like other technologies, edge computing also has some proprietary vocabulary. Knowing the terminology in edge computing and then understanding edge computing will have a multiplier effect.

Edge devices: Edge devices are any device that can generate data, and can be sensors, industrial machines, or other devices that collect or collect data.

Edge: The edge depends on the use case. In the telecom field, the edge may be a mobile phone; in the automotive field, the edge of the network may be a car; in a production environment, it may be a machine in the workshop; in an IT enterprise, the edge is a laptop

Edge gateway: The gateway is the buffer between the edge calculation processing and the fog calculation. The gateway is the window that enters the network environment beyond the edge of the network.

A fat client, sometimes called a thick client, is a network computer with a lot of resources installed locally, rather than spreading resources across the network like a thin client.

Edge Computing Devices: Edge computing uses a range of existing devices and new devices through which many sensors and machines can access the Internet to work in edge computing environments.

Mobile Edge Computing: This is a concept in the edge computing ecosystem in the telecommunications industry, primarily for 5G applications.

According to market research firm IDC, edge computing is a "microdata center mesh network that processes or stores critical data locally and pushes all received data to a central data center or cloud repository."

It is commonly used in IoT use cases where edge devices collect data and send it all to the data center or the cloud for processing. Edge computing classifies local data, so some of it will be processed locally, reducing backhaul traffic to the central repository.

Often this work is carried out by IoT devices to transfer data to local devices, including small computing, storage, and network connections. Data is processed at the edge and all or part of the content is sent to the central processing or repository of the enterprise data center, collaboration facility, or IaaS cloud.

cloud computing

Cloud computing includes software-as-a-service (SaaS), infrastructure-as-a-service (IaaS), and platform-as-a-service (PaaS) business models, providing a standard interface and method for cloud deployment solutions using remote servers hosted on the Internet. The network deploys, manages, and processes data in the cloud.

Cloud computing can significantly reduce business operating costs, provide enterprises with dynamic and scalable services, and simplify operating costs. But its shortcomings are also obvious, mainly the cost of cloud computing to transfer data, followed by storage costs.

Edge calculation

Calculating edges means pushing data processing to the edge of the network where the data is generated. Edge computing can be done on any edge device, such as a router, sensor, or smart device. Each device has its own role in processing information, and edge computing may not be associated with the cloud or server and can exist as a standalone machine. Typically, edge computing devices are used for closed machine to machine (M2M) systems. Typical features of edge computing include: data aggregation, denaturation, filtering, data erasure, and anomaly detection. Its purpose is to reduce costs and delays and control network bandwidth.

Fog calculation

The concept of fog calculation was proposed in 2011 and was defined in detail in 2012. Fog CompuTIng is an extension of cloud computing (Cloud CompuTIng) in which data, processing, and applications are concentrated in devices at the edge of the network, rather than being stored almost entirely in the cloud.

Compared with cloud computing, the architecture of fog computing is more distributed and closer to the edge of the network. Fog computing centralizes data, data processing, and applications on devices at the edge of the network, rather than keeping them almost entirely in the cloud like cloud computing. The storage and processing of data depends more on the local device than on the server. Therefore, cloud computing is a new generation of centralized computing, and fog computing is a new generation of distributed computing, in line with the "decentralization" of the Internet.

Edge calculations more specifically relate to the computational process of edge devices, so fog calculations include edge calculations, but fog calculations also require the processed data to be transmitted to the network required for the final destination.

The industry believes that the security of edge computing has two main aspects. Some people think that security is better in the edge computing environment, because the data is not transmitted through the network, but in the place where the data is created. On the other hand, some people think that edge computing itself is not safe, because edge devices may be more vulnerable. Therefore, security is critical when designing any edge or fog computing deployment. Data encryption, access control, and the use of virtual private network tunnels are important factors in protecting edge computing.

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