What Application Scenarios Can the Edge Gateway be Used in?

Edge computing refers to the use of nearby data processing capabilities at the edge of the network to move the traditional centralized data processing to a place closer to the user. This is like a "disconnected" switch or router, allowing data to reach its destination faster. edge computing gateway can also be understood as an intermediate node, which moves the traditional centralized computing process to the network closer to users and with the largest bandwidth, effectively improving the productivity and response speed of enterprises. Edge Computing Gateway is an important interface for edge devices to connect to the cloud, collect and process data and application services.

Edge Computing Gateway M100 supports a variety of PLC protocol parsing, providing customized products and solutions for users in different industries to meet their business needs and future development directions. Because that end-to-end communication bandwidth of the device is limit, the device is subject to a certain degree of delay limitation when transmitting data.In the process of data transmission, it is often affected by network fluctuations, traffic and delay, resulting in transmission stuttering, high delay, low efficiency and other issues, affecting the business experience. By combining cloud computing with edge computing technology, end-to-end connections can be established closer to the user side and closer to the network side to solve the problems encountered in the process of data transmission. Specifically, there are the following aspects:

Data collection and data processing

Because the traditional way of data processing is often concentrated on the server, but the efficiency of this way will be relatively low, and the time of data processing will be longer. Edge computing can solve this problem and bring network devices closer to users. Edge servers are used to collect, analyze and process data on the user side and forward it to Edge Computing Gateway when the user is close, so that they can respond directly to the user's request.

Reduce network bandwidth

Edge computing devices can be deployed near users and can reduce network bandwidth. In many Internet of Things devices, data processing needs to be done closer to the network, thus reducing the bandwidth of data transmission.

For example, an image file generated by a client can be quickly distributed at the edge of the network to reduce waiting time and traffic, thereby:

bandwidth cost is reduced;

data transmission delay is reduced;

storage space and bandwidth cost are saved;

service interruption time is reduced.

Reduce the time delay

Traditional data centers have many technical bottlenecks because of their large scale and high cost. Edge Computing Gateway can solve this problem well, sorting out the massive data originally processed by the cloud and then forwarding it to the cloud for processing, avoiding delays and other problems. Therefore, in terms of data transmission, compared with traditional data centers, edge computing can effectively reduce latency and improve efficiency.

Enhance data security

Edge Computing Gateway solves the security problem of cloud data storage by means of distributed storage, load balancing and security strategy, and distributes massive cloud data to edge computing nodes to avoid the impact of excessive network traffic on user experience.

Realize network intelligence and improve network stability

Edge Computing Gateway can process data nearby without affecting the network, improve the timeliness of data transmission, and improve the ability of data acquisition and analysis.

Edge Computing Gateway has a wide range of application scenarios and can be used in finance, logistics, transportation and other industries. It can be used to protect critical data, ensure data security and enhance business experience. The application of edge computing is to deploy some core applications in the network nearest to the user, so as to improve the overall network stability and reliability. At the same time, it can also realize the rapid collection, analysis and processing of key data, thus improving the speed of business processing and operational efficiency.