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Edge Computing Technology

Edge Computing Technology


With the rapid development of Internet of Things (IoT), the data collected by IoT devices increases exponentially. Sending all the collected data to data centers or cloud platforms for processing will cause unacceptable latency. This leads to the rise and popularity of edge computing technology. With edge computing, some of the data compute occurs at the edge of the network, closer to where the data was collected. Edge computing allows companies to build edge computing nodes closer to devices to filter the device data and process the data locally, then upload the processed data to the cloud platform. Such process reduces data bandwidth and relieves the load of the cloud platform.

In the light of this, companies are able to use and allocate common resources at many locations.

What is Edge Computing?

Edge computing refers to analyzing, processing and storing data closer to where it is generated to achieve fast and near real-time analysis and response. Before the rise of the edge computing, some industry giants had benefited from operation integration by shifting data storage and compute to the cloud. However, such model is made unsustainable when it comes to data processing of billions of distributed devices.

Furthermore, the increasing use of edge devices for faster, near real-time accessibility of data sources further drives the exponential growth of data generated and collected. On the other hand, less response time associated with edge computing has made the use of this technology an industry trend.


Benefits of Edge Computing

Known as “the last mile of artificial intelligence”, edge computing features shortened bandwidth, reduced latency, and strengthened security and privacy. It presents a trillion-dollaropportunity to the market players.

Edge computing means faster and more stable services at lower costs. For users, edge computing delivers faster, more 

consistent experience. While for enterprises and service providers, edge computing enables low -latency, highavailability applications with real-time monitoring capabilities. More specifically:

 · Increased speed and reduced latency Moving

data processingand analyzing to the edge helps

 speed up system response, thereby leaving more

 time for users to react and enhancing user 

experience, which are critical in quasi-real-time 

applications, such as autonomous driving.

 · Improved network traffic management Minimizing 

the data sent over the network to the cloud reduces the 

bandwidth and cost of transmitting and storing large 

amounts of data.


 · Higher reliability There is a limit to the

amount of data that can be transmitted by 

the network in a single pass. For locations 

with poor network connectivity, the ability 

to store and process data at the edge can 

improve reliability in the event of a cloud 

connection outage.

 · Enhanced security When implemented properly, 

edge computing solutions can limit data 

transfer over the network, thereby improving 

data security.

Application Scenarios

Retail: By deploying sensors and cameras in the warehouse and connecting them to vending machines with edge computing capabilities, enterprises can do stock take in real time to improve the inventory accuracy and enhance the operational efficiency of the supply chain and the retail business. (Vantron offering: VT-SBC-3288 single board computer for the vending machine)

Industrial: Edge computing enables more flexible and highly responsive manufacturing by integrating digital and physical technologies, which can provide information support for Industry 4.0. (Vantron offering: Edge computing gateways supporting a wide range of protocols)

Healthcare: Edge computing helps reshape the way medical care is delivered to patients from injury to recovery, and utilizes the deep learning capability of imaging devices to help speed up rehabilitate for injured and post-operative patients. (Vantron offering: VT-SBC-3568 single board computer for rehabilitation robots)

Vantron Products

G202, C335L, C335 and G335 industrial edge computing gateways: Vantron edge computing gateways provide large-capacity storage and rich industrial interfaces and support a variety of wired and wireless communication technologies. The gateways also support a wide range of industrial protocols to allow flexible access to on-site industrial devices such as PLCs, machine tools, controllers and various sensors.

VT-SBC-3288, VT-SBC-3399, VT-SBC-3568 single board computers: Vantron intelligent embedded mainboards show optimized performance at lower consumption. The boards have rich interfaces that meet the requirements of different application scenarios, support high-quality video encoding and decoding to optimize display performance, and provide wired and wireless network accesses that guarantee the safety of user data transmission.

Edge computing Technology.pdf

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