What is Edge Computing? Why is it important?

What is Edge Computing? Why is it important?
Edge computing is transforming the way data is processed, processed, and delivered from millions of devices around the world. Explosive Growth of Internet-Connected Devices — IoT —We continue to drive edge computing systems with new applications that require real-time computing power.
Faster network technologies such as: 5G Wireless enables edge computing systems to accelerate the creation or support of real-time applications such as video processing and analytics, self-driving cars, artificial intelligence, and robotics.

What is Edge Computing?

Gartner defines edge computing as “a part of a distributed computing topology in which information processing is located near the edge and objects and people generate or consume that information.”
Edge computing was developed for the exponential growth of IoT devices that connect to the Internet to receive information from the cloud and deliver data to the cloud. In addition, many IoT devices generate vast amounts of data during operation.
Think of a device that monitors manufacturing equipment On the factory floor Or an internet-connected camcorder that sends live footage from a remote office. A single device that produces data can send data over the network very easily, but problems arise when more devices send data at the same time. Hang hundreds or thousands of devices instead of a single camcorder that sends live footage. Not only is the quality degraded due to delays, but the cost of bandwidth can also be enormous.
Edge computing hardware and services can help solve this problem by becoming a local source of much processing and storage for these systems. For example, edge gateways can process data from edge devices and send only relevant data back through the cloud, reducing bandwidth requirements. Alternatively, if you need a real-time application, you can send the data back to your edge device. (reference: Edge Gateway is a flexible and robust IoT enabler).
The edge gateway itself is considered an edge device within the edge computing infrastructure.
Network World-How Edge Computing Works [diagram] Network World / IDG.

How edge computing works?


Edge computing use cases

There are as many different edge use cases as there are users-all placements are different-but some industries are especially at the forefront of edge computing. Manufacturers and heavy industries use edge hardware as enablers for delay-tolerant applications to maintain processing power, such as automatic adjustment of heavy equipment on factory floors close to where they are needed. Edge also provides a way for these companies to integrate IoT applications such as predictive maintenance closer to their machines. Similarly, agricultural users can use edge computing as a layer of data collection from a variety of connected devices such as soil and temperature sensors, combines and tractors. (Details of IoT in the farm: Drones and sensors for better yields).
The hardware required for different types of deployments varies significantly. For example, industrial users value reliability and low latency, with robust edge nodes that can operate in the harsh environment of factory floors and dedicated communication links (private 5G, dedicated Wi-Fi networks, and even wired connections). I need it. ) To achieve their goals. In contrast, connected agricultural users need rugged edge devices to accommodate outdoor deployments, but the connections can look quite different. Low latency can be a requirement for adjusting the movement of heavy equipment, but environmental sensors may have both higher range and lower data requirements – LP-WAN connection, Sigfox, etc. May be the best choice there.
Other use cases present completely different challenges. Retailers use Edgenodes as host in-store information centers for a variety of features to combine point-of-sale data with targeted promotions and track foot traffic for an integrated store management application. I can do it. The connection here can be simple-in-house Wi-Fi for all devices-or more complex, Bluetooth or other low-power connections serve traffic tracking and promotion services, Wi-Fi. Is reserved for POS and self-checkout.

Edge equipment

The physical architecture of the edge can be complex, but the basic idea is that the client device connects to a nearby edge module for more responsive processing and smoother operation. The terminology varies, so you’ll hear modules called edge servers, “edge gateways,” and so on.
DIY and service options.
The method of purchasing and deploying the edge system is also very different. At one end of the spectrum, companies may want to handle much of the process on their own.
On the other side of the spectrum, vendors in certain industries are increasingly marketing edge services they manage. Organizations wishing to adopt this option simply ask the vendor to install their own equipment, software, and network and pay the usual fees for use and maintenance. IIoTs from companies such as GE and Siemens fall into this category. While this has the advantage of being easy to deploy and relatively headache-free, such highly managed services may not be available in all use cases.


For many companies, cost savings alone can be a impetus for deploying edge computing. Edge computing may be a good choice.
Edge computing has evolved significantly since the era of ROBO-isolated IT. Companies such as Nvidia recognize the need for more processing at the edge. That’s why new system modules with built-in artificial intelligence capabilities are emerging.

Privacy and security

This includes data encryption and the adoption of access control methods, and in some cases VPN Tunneling.
In addition, different device requirements for processing power, power, and network connectivity can impact the reliability of edge devices.

Edge computing and 5G

Carriers around the world are deploying 5G wireless technology. We are incorporating edge computing strategies into our 5G deployments to provide processing.
Wireless carriers have begun deploying licensed edge services for even fewer hands-on options than managed hardware. Is to cut out. Verizon’s 5G Edge, AT & T’s Multi-Access Edge, and T-Mobile’s Lumen partnership all represent this type of option.

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