In recent years, with the development of cloud computing, another term has gradually become known, namely “edge computing”. 5G edge computing gateways for IoT devices are also widely used in various scenarios on the market, so what does “edge computing” in 5G edge computing gateways mean? What does it have to do with cloud computing?
In fact, cloud computing and edge computing are two different concepts. Edge computing was born with the development of IoT technology, as referred to in the 5G edge computing gateway.
What is the edge computing mentioned in the 5G edge computing gateway?
If you’ve been following the Internet of Things (IoT) technology, then you know a few terms like edge analytics, edge computing, edge processing…
Edge computing has ushered in a new era where you can watch videos with just one click of the play button. Technology giants Alibaba, Tencent, Google, Amazon, and Microsoft all rely on edge computing to make their content, services, and media travel around the world in milliseconds.
Edge computing technology based on the 5G edge computing gateway is a mesh network of microdata centers that can process and store important data locally. They can then transmit the data to a central data center or cloud storage.
The 5G edge computing gateway is based on edge computing technology, so it can combine geographical distribution and cloud computing technology, and it has the characteristics of low latency.
Edge computing is a distributed computing architecture, while cloud computing is a decentralized computing model.
Advantages of 5G Edge Computing Gateways
Data privacy: With 5G edge computing gateways, data can stay where it is produced, used and owned Cost: Reduced data transfer and central storage can significantly reduce network and cloud cost Data speed: Processed directly on the device, not sent to the cloud Faster offline capability due to data and processing: Using 5G edge computing gateways, devices operate independently of network/cloud connections, so applications can run and offline capabilities are strong Decentralized edge: edge devices can communicate directly with each other. These decentralized edge computing approaches are more efficient because distances are short and power and information from multiple devices can be combined increasing efficiency.
Data security: When the number of connected devices increases, the possibility of being attacked increases. Traditional cloud computing is centralized and more vulnerable to DDoS attacks and power outages. 5G edge computing gateways rely on edge computing technology to cross devices and data centers. Process and store data in a distributed manner, which makes it difficult for a single outage to destroy the network, while filtering out sensitive data and transmitting only non-sensitive data for further processing in compliance with strict security standards. Since less data is intercepted during transmission, it is easier to implement security protocols.
Comparison of edge computing technology and cloud computing in 5G edge computing gateway
Cloud computing relies on a network of remote servers to store and use data in different places. It can provide data to a large number of people at the same time without maintaining its own infrastructure.
A 5G edge computing gateway does not rely on a data center or the cloud, as computing is closer to the data source, the distance loss is minimized, and troubleshooting is simplified when there is a problem.
The purpose of cloud computing is to overcome the limitations of local storage, enabling on-demand data storage and computing, and changing the way businesses and individuals deal with IT assets. In 5G edge computing gateways, edge computing technology analyzes relevant data before sending it to the cloud, thereby saving bandwidth and improving data security.
The scenarios used by the two are different. The ultimate destination of the 5G edge computing gateway is cloud computing, so the combination of the two is a trump card.
The 5G edge computing gateway is a device product based on powerful edge computing technology. It has a wide range of applications in the IoT market, and can even be seen everywhere. This includes unmanned driving, smart factories, smart agriculture, smart energy, and unmanned retail. The future can be expected!
