How is Edge Computing Changing the Network in 2019?

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With the Internet of Things, connected devices are multiplying and the amount of data collected is exponential. Edge Computing, stores and processes some of this data at the edge of the network, that is, near the source. This significantly reduces the amount of data that travels over the Internet, between the edge and the other end, either the data center or the cloud.

IT at the Edge: Brief Overview

The definition of the word edge varies according to the use that one makes of it. In other words, we could also talk about the edge to describe a cellphone, a laptop or any intelligent device that produces data, whether it is a car, a motion sensor, an appliance, etc.

Concretely, Edge Computing is useful in three circumstances.

1. Store Data Locally

When the network connection is weak or when continuous cloud synchronization could interfere with the operation of some devices, Edge Computing can store data locally. This avoids the loss of sensitive information, which can be sent to the cloud when the network is available again. It can also be used to send data at predetermined times, for example, to only route daily reports.

2. Lower Latency

With Edge Computing, the data collected is not routinely transmitted to a data center or cloud for analysis, significantly reducing latency. This is a huge benefit for real-time data analysis. In certain areas (automotive, financial, manufacturing, etc.), where a few fractions of a second can make all the difference, Edge Computing is essential.

3. Avoid Bottlenecks in the Network

Some devices transmit data continuously. Not all of this data needs to be delivered to the cloud. It is the job of Edge Computing to sort and transmit to the cloud or data center only the necessary information. By acting as a filter, Edge Computing avoids bottlenecks on the network. The data passing through the bandwidth is reduced, the network is decongested and the performance is increased.

edge computingSource: Intel®

The Importance of Edge Computing in 2019

Content delivery networks (CDNs) (particularly in Media & Entertainment) already offer Edge Computing, or will offer it soon. Although they play a major role in improving latency, their benefits will be increased when combined with Edge Computing.

Source: Intel Software YouTube Channel

In addition, businesses must be able to interact in real time with their customers. In an era where everything is instant, they want to be able to use their devices and applications anywhere, anytime.

In the case of virtual reality and augmented reality, low latency is of crucial importance. For example, in an immersive experience at the heart of a sports match, or when a doctor is treating a patient remotely, the slightest delay can ruin everything.

Virtual or Augmented Reality for Business

Contrary to popular belief, the usefulness of VR / AR is far from being limited to video games. They can be essential in many contexts and increasingly useful for businesses.

In medicine, VR / AR allows students to experience an immersive training and doctors to treat patients from a distance. In the business workplace, they serve to optimize the efficiency of a worker, allowing them to have information directly available visually, while keeping their hands free. A designer can build and test a product in a fully simulated environment. Companies use augmented reality to test products under development...

However, for virtual or augmented reality to work to its full potential, it takes power and speed, high bandwidth and low latency. This is where the Edge Computing come into play, inseparable from the proper functioning of this constantly evolving technology.

Conclusion

Edge Computing is not about to replace the cloud, quite the contrary. Both are complementary to optimize network performance.

To use Edge Computing at its full potential, it is essential to have the right equipment. To do this, consider our scalable low-latency edge computing solutions and high-performance servers, such as the Intel® powered CIARA 2U/4 Node ORION RS620Q-G4 and the 1U ORION HF310-G4 <https://ciaratech.com/products/servers/orion-hf/#orionhf310-g4>.

To learn more about Edge Computing and its implementation, feel free to contact our experts <https://ciaratech.com/contact/> today.

Intel Virtual Reality Augmented Reality edge computing

Odyze Wright

Odyze Wright

I write about what's interesting and what's not. I write about current and what's not. Lastly, your suggestions are more than welcomed!

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