The Future of Edge Computing and why It Empowers loT Devices

 

Due to the pandemic, most of us work remotely, and businesses start to leverage digital platforms and services most aggressively. Initially, data consumption drastically increases, and the data collected from billions of internet of things (IoT) devices is stored in the cloud for faster data processing.

When it comes to financial services, global traders need to take real-time decisions based on market shifts. If any lag occurs in data computation, it seriously results in the loss of money.

It is also applicable to healthcare industries even a slight delay in processing data would lead to a person’s death.

While processing the bulk data stored in the cloud mightn’t be able to handle or process the whole data at a time, it delays. To tackle this problem, that’s where edge computing comes into play.

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What is Edge Computing?

Edge Computing architecture is referred to as the data processing at the network level to decrease the overall latency on cloud and data center resources by reducing demands. However, due to the increased use of edge devices, there is an unexpected growth in data generated and collected. 

By the end of 2025, almost 75% of the data will be created out of the central data centers. Do you know? 90% of the data which enterprises collect will never be used. One of the primary reasons for the growth of edge computing is its higher efficiency. Every day, the volume of loT data keeps on increasing while processing also takes place at the edge. 

However, through the loT devices, a massive amount of data is collected, and only the critical information is extracted and used. In this process, the processing takes closer to where the data originates, reducing and eliminating the overhead cost of the bandwidth needed to transmit it into the cloud. 

The data collected at the edge is categorized into three types.

1. Data does not need to be stored 
2. Data retained for later analysis
3. Data requires immediate action  

Edge computing aims to differentiate between the various types of data and the level of response required accordingly. Thus, edge computing minimizes the round-trip of data from cloud to edge and again. It also reduces data flow on the network and saves bandwidth along by lowering networking costs. 

How Edge Computing Works?

Edge computing works by collecting and processing accurate data from the internet of things devices. It analyzes the whole data right at the edge of the network, and then information is sent to corporate data centers or the cloud.

“4” Drivers for Edge

Latency

Globally many organizations implement apps that require rapid analysis along with the response. However, when it comes to cloud computing, it can’t handle these demands due to its latency, network distance from the data source, inefficiency, lag time, all resulting in a bad customer experience. 

Bandwidth

Overcome the latency issues by adding transmission bandwidth. However, organizations continue to increase the number of edge devices on the network and data collected. The cost to send that data to the cloud could be impractical. 

Security and privacy

Securing the sensitive data related to medical records at the edge needs to transmit fewer data across the internet for better security and low risk. 

Connectivity - 5G requires a high-bandwidth, low-latency connection and service delivery from the edge.

AI – Organizations need AI to process data faster in real-time and to take advantage of untapped data.  

Benefits of Edge Computing  

If an organization utilizes the cloud for storing its data and if the cloud goes down, then the data can’t be accessible until the problem is resolved. Here where edge computing comes into play. In edge, data is stored closer to where it is generated. 

Increases speed and lower latency – Edge enables faster processing of data transactions with a better user experience.

Improves network traffic management- Minimizes the overall data sent over the network to the cloud, which helps in reducing costs and bandwidth.

Get better reliability- In some of the locations with below-average internet connectivity, storing and processing data in the edge results in improving the reliability.

Enhanced security- By implementing edge computing properly, it increases data security by limiting data transmission. 

Why 5G Needs Edge Computing?

5G and edge computing are inter-linked technologies that both work on improving the applications' performance by enabling vast amounts of data in real-time. Unbelievably, 5G increases speed the speed up to 10 times that of 4G. In 4G data, the expected network latency is ~100ms, whereas, in 5G, the predicted network latency is ~10-20ms. Edge computing drastically reduces the network latency by processing the data closer to the end-user. 

Conclusion 

Due to the technological transformation, loT devices are gaining much more momentum. In the upcoming years, 5G technology takes off and can enable faster connections across the globe. Edge computing offers unprecedented opportunities for the services providers and enterprises at every point of data. At Sun technologies, we provide practical solutions by using the latest technologies and a mature developer ecosystem to our world-class business clients worldwide. 

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