A I T E C H R 0 O T S

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What is edge computing?


Edge computing is a distributed computing model in which computing takes place near the physical location where data is being collected and analyzed, rather than on a centralized server or in the cloud. This new infrastructure involves sensors to collect data and edge servers to securely process data in real-time on site, while also connecting other devices, like laptops and smartphones, to the network.

It offers some unique advantages over traditional models, where computing power is centralized at an on-premise data center. Putting compute at the edge allows companies to improve how they manage and use physical assets and create new interactive, human experiences. Some examples of edge use cases include self-driving cars, autonomous robots, smart equipment data and automated retail.

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Possible components of edge include:

  • Edge devices
  • Network edge
  • On-premises infrastructure

Edge computing can be incorporated into a wide variety of applications, products, and services.

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COMPUTING AT THE EDGE


When you transfer data across the campus, state, country or ocean, it is simply more prone to attacks and breaches. Processing data at the edge can reduce security vulnerabilities.

Breven if bandwidth is available, it can be costly. Efficiency is an important element of any corporate IoT strategy.

Sending big data back and forth from things to the cloud can consume enormous bandwith. Choosing a high-level edge computing company to handle your edge computing is the easiest solution to this problem.

Applications done in real time to minimize defects. Immediate insight and control.

If all the data is collected and sent to the cloud, there will likely be some equipment duplication in memory, storage, networking equipment, and software. If this duplication is not needed, then the associated increases in capital and operating expenditures are unwarranted.