Why Edge Computing Gateway Is More and More Important

PublishTime： 2023-10-27 Article Source：usr News

edge computing Gateway combines industrial Internet of Things with edge computing through 4G/5G communication and Internet to achieve cloud collaboration, edge linkage, computing power sinking, and other characteristics, which are widely used in the industrial Internet of Things, intelligent transportation, power Internet of Things, environmental protection and fire protection, intelligent agriculture, and other fields.

The self-developed 5G Edge Computing Gateway adopts industrial design standards and plug-and-play design concepts, supports more than 90% of the mainstream CNC/PLC/instrument protocol analysis, data acquisition, edge computing, and other functions, supports independent cloud protocol/general MQTT and other protocols, and achieves seamless access to cloud data. It can realize remote control of equipment, remote upload and download of the control program, remote basic operation, and maintenance of equipment and other functions.

Value of Edge Computing Gateway for the Internet of Things

● Data localization: Edge Computing Gateway pushes computing and data processing closer to end devices, enabling local processing and storage of data. In this way, a large amount of data can be prevented from being transmitted to the cloud for processing, the delay and bandwidth consumption of data transmission are reduced, and the real-time performance and efficiency are improved.

● Data privacy and security: Edge Computing Gateway processes and stores data locally, reducing the risk of data transmission through public networks and enhancing data privacy and security. For some applications involving sensitive data or requiring strict confidentiality, Edge Computing Gateway can effectively control the access rights of data and protect the security of data.

● Low latency and fast calculation speed. Edge computing refers to data analysis and calculation from the bottom to the bottom, which can analyze real-time and short-cycle data and support real-time intelligent processing and execution of local business.

● More efficient real-time response. Edge computing is directly executed on the device side, which directly saves transmission time and cloud computing time, and significantly improves the efficiency of device response.

● Network bandwidth pressure sharing: With the rapid growth of IoT devices, the data generated by a large number of devices will bring tremendous pressure to the cloud network. Through local processing on Edge Computing Gateway, access to the cloud network and data transmission can be reduced, and the bandwidth pressure of the cloud network can be shared.

● Heterogeneous system integration: Edge Computing Gateway can be used as a bridge to connect different types of devices and systems to realize data interaction and integration between heterogeneous systems. It can unify different protocols, interfaces, and devices, and provide reliable data communication and interoperability.

● Save traffic and bandwidth. Most of the data generated by the device has been processed locally and does not need to be uploaded to the cloud center, which reduces the data traffic and bandwidth requirements of the Internet of Things system.

How the Internet of Things Leverages Edge Computing Gateway

1. Increase data security

While IoT solutions are ideal targets for cyber attacks, edge computing can help companies secure their networks and improve overall data privacy. Because data is distributed and spread across the devices that generate it, it is difficult to take down an entire network or compromise all data with a single attack. When it comes to GDPR compliance, this approach is also preferred: the less sensitive the information sent over the network and stored in the cloud, the better the information.

2. Better application performance

As mentioned above, it takes some time for data to travel back and forth between the device and the data center. By storing and processing data close to its source, businesses can reduce latency and improve overall application performance. As a result, businesses can analyze data in real-time without delays.

3. Reduce operating costs

When businesses "store and process" most of the data at the edge, there is no need for a lot of cloud storage. In addition, you can filter out unnecessary information and back up only relevant, valid data. As a result, infrastructure costs for businesses will inevitably fall.

4. Improve business efficiency and reliability

In turn, lower data traffic and reduced cloud storage can lead to more efficient business operations. In addition, network connections will not be problematic because they are applicable to other Internet of Things products that rely on cloud computing. This is because IoT devices in the enterprise can work autonomously without an Internet connection.

5. Unlimited scalability

Unlike cloud computing, edge computing allows businesses to scale IoT networks as needed, regardless of available storage (or its cost).

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