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Introduction to Edge Computing with 5G

Thanks to the Internet of Things (IoT), more and more devices are connected, including homes, heating systems, fitness trackers, and vehicles. Edge computing processes data closer to the source, enabling real-time data and analytics and improving reliability, performance, and cost. According to IDC, the global edge analytics market is expected to grow at a CAGR of 27.6% between 2017 and 2025, driven by the increasing number of connected devices.

Humans generate more than 2.5 exabytes of data every day. Imagine sending about 1.7 megabytes per second for everyone on the planet to be processed centrally. The amount of data generated by IoT devices is growing as fast as the number of devices themselves and needs to be processed quickly to achieve fast response times and low latency. This is important for companies exploring the technical possibilities of innovative computing solutions.

Brings data storage and processing close to where data is being generated or gathered. Click to explore about our, Applications of Edge Computing

What is 5G?

Massive consumer demand for higher speeds will bring the emergence of 5G, which focuses on large-scale machine technologies such as broadband, low-latency communications, and autonomous vehicles (AVs). Its communications are expected to be up to 1000 times faster than 4G, allowing devices to respond in milliseconds. Consumers can download Full HD movies to their mobile devices in seconds. It plays a central role here, solving various challenges such as latency, governance, security, and monitoring. With the advent of 5G, the modeling of it is changing. As a result, the methods, locations, and technologies used to provide infrastructure for data center providers, software developers, and others are changing.

Why do we need Edge Computing with 5G?

Today's 4G networks can support approximately 4,000 devices per square mile. A network offering 5G connectivity would dramatically increase that number to about 3 million units per square mile. It no longer makes sense to process all data collected from these devices in national or regional data centers. It moves your data center closer to where you need it, reducing processing time.

"The cat video illustrates the need for it. When you post one of your videos online and it starts getting hits, it needs to be cached on more servers and put back in the cloud. If it's going to go viral, we need to get this content as close to our subscribers as possible. As a carrier, or as Netflix, or whatever else, closest to the edge of the cloud is the key point on the internet. It is the base of a mobile phone base station. This is MEC's ​​concept of Multi-Access Edge Computing, bringing content closer to subscribers. When billions of cat callers are connected, I'm completely flipping the paradigm and trying to push all these devices up instead of things trying to pull it down. As a result, the computational power must be further reduced."

This is an ironic example. Most consumers don't need such a delay to share cat videos. Streaming works great on 4G for the most part. But for many services, such as self-driving cars and virtual reality, a few milliseconds of latency can make a big difference.

Manages all the services that a user can use to build and run its program on AWS's system. Click to explore about our, AWS Serverless Computing

Edge Computing with 5G

Its cellular networks are the latest global wireless standards developed by 3GPP. 4G networks will provide connectivity for most mobile phones today, while 5G will enable connectivity for a broader group of devices, from machines to vehicles. It is designed to meet several demanding needs, including:

  • It improved throughput on mobile broadband for 4K video streaming and virtual reality (VR), up to 20 Gbit/s peak data rate based on IMT 2020 requirements.
    Real-time communication has very low latency (less than 1 ms)—operating Surveillance Drones.
  • Large network capacity, It plans to make the number of connected devices per unit area more than 100 times of 4G/LTE technology.
  • A more consistent user experience and more users. Improves reliability in crowded areas such as stadiums and sporting events.
  • It is improving energy efficiency, such as reducing power consumption and providing cellular Internet of Things (IoT) devices that can last ten years or more.
  • The new 5G core network will follow a service-based architecture (SBA), enabling the adoption of cloud-native technologies and open-source software in communication networks, bringing more collaboration, innovation, and openness.
  • While most of us may be focused on Enhanced Mobile Broadband (eMBB) use cases, the most significant disruption of it will be machine-type communication (mMTC) like self-driving cars and ultra-reliability low latency communications (URLLC). , smart city, and industrial automation.
Enables data to be processed, analyzed, and transferred at the network's edge. Click to explore about our, Multi Access

What are its Use Cases?

The use cases of Edge Computing with 5G are listed below:

Healthcare

It enables intense changes in healthcare with low latency applications, huge bandwidth, and enabling massive IoT. It dramatically increases how much we can gather about a medical condition; we can minimize the data loss by immediately informing a central repository. Low latency enables tools to be used in real-time.

It has various other applications in staff communication, logistics, and other aspects of medicine.

Organizations use it with its networks for Transformative Medicine to support cancer research, treatment, and wellness education. Some use cases include 3D tumor imaging, patient location maps, and better and faster data collection and analysis.

Manufacturing

Edge computing and Manufacturing are very much connected. It is helping businesses to improve logistics by improving operating, reducing waste, and reducing manufacturing and assembly line errors.

The companies are using it with 5G so that 5G connectivity supports connections from tablets and phones used on the production lines to over-the-air software updates for the vehicles.

The system that uses Machine Learning Algorithms to process the data which is generated by the hardware devices at the local level. Click to explore about our, Artificial Intelligence in Edge Computing

What are the benefits of Edge Computing with 5G?

When combined with it gives you space for new products, experiences, and platforms in every industry.

One can continue to benefit from the dynamic resource allocation and continuous delivery features of cloud computing by utilizing the computational power of edge devices, gateways, and networks.

Businesses today can extend the virtualization of the cloud outside the confines of the data center thanks to it. Moving workloads developed in the cloud toward the edge, including some of the most advanced types of AI and analytics, is now possible. Edge data can be cleaned up, optimized, and sent back to the cloud when necessary.

What are the benefits of Edge computing?

  • It provides less cost and more control over things by reducing data transport main data hubs and decreasing vulnerabilities.
  • It provides quick insights and actions by accessing various data sources and processing that data at the edge.
  • It enables systems that will run without interruption despite disconnection and help reduce disruption and costs.
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Conclusion

A global edge computing infrastructure is required to deploy 5G networks successfully. The latter plays a leading role in data processing, storage, and security. It is essential to dig deeper and evaluate each component in the network. This is because it is only as strong as the weakest link in your network. For example, servers installed in it nodes must meet high demands for high performance and low latency. That means fast SSDs, faster processors, I/O, high-bandwidth NICs, optimized containers, and efficient architecture. A thorough analysis is essential. Otherwise, one of the key benefits of 5G, i.e., low latency, will be compromised.

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