Characteristics and Application Fields of Edge Computing Gateway

Edge computing is a distributed computing framework that brings enterprise applications closer to data sources, such as IoT devices or local edge servers. This proximity to the data source provides significant business benefits: faster insight, improved response time, and increased bandwidth availability.

What are the characteristics of edge computing?

1. Distributed and low-latency computing

Edge computing focuses on the analysis of real-time and short-cycle data, which can better support the real-time intelligent processing and execution of local business.

2. More efficient

Because edge computing is closer to the user, the data filtering and analysis are realized at the edge node, so the efficiency is higher.

3. More energy efficient

The combination of cloud computing and edge computing is more conducive to energy saving with cloud computing.

4. Relieve flow pressure

In the process of cloud transmission, some simple data processing is carried out through the edge node, which can reduce the response time of the device and reduce the data flow from the device to the cloud. In order to alleviate the traffic pressure, some simple data processing is carried out through the edge node during cloud transmission, which can reduce the response time of the device and reduce the data traffic from the device to the cloud.

edge computing gateway, a new generation of edge computing gateway launched to help the IoT industry achieve digital transformation, has strong edge computing capabilities and shares computing resources deployed in the cloud. Data optimization, real-time response, agile connection, model analysis, and other services are realized at the edge nodes of the Internet of Things, which makes the digital Internet of Things further in the AI era. The industrial wireless communication gateway for energy monitoring on the user side is an important component of energy management. It can collect the energy data of charging stations, factories, office buildings, and shopping malls, and achieve the purpose of operation management and energy saving and emission reduction through the data analysis of the platform.

Edge computing gateway application

The typical application of the Edge computing gateway is a public infrastructure integrating wireless communication, information interaction, intelligent lighting, video surveillance, traffic management, environmental monitoring, emergency help, and other functions. A large amount of data is processed and analyzed on the transmission cloud by an Edge computing gateway every day.

Edge computing has a wide range of applications in the Internet of Things, especially suitable for application scenarios with special business requirements such as low latency, high bandwidth, high reliability, massive connections, heterogeneous convergence, and local security privacy protection.

Why Edge Computing?

The explosive growth of IoT devices and increasing computing power has produced an unprecedented amount of data. The amount of data will continue to grow as 5G networks facilitate an increasing number of connected mobile devices.

In the past, the promise of cloud computing and AI was to automate rapid innovation through actionable insights derived from data. But the vast amounts of data and unprecedented complexity generated by connected devices are beyond the reach of networks and infrastructure.

Sending all data generated by a device to a centralized data center or cloud causes bandwidth and latency issues. Edge computing offers a more efficient alternative: processing and analyzing data closer to where it was created. Since data is not transmitted over the network to the cloud or data center for processing, latency is significantly reduced. Edge computing and mobile edge computing on 5G networks enable faster, more comprehensive data analytics, creating opportunities for deeper insights, faster response times, and improved customer experiences.