All you need to know about EDGE COMPUTING

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What is Edge Computing and why it is important


All you need to know about EDGE COMPUTING

With the advent of deployment of IoT devices and the advent of 5G Fast Wireless, placing computers and analytics near where data is generated is making Edge computing matter. So we need to know All you need to know about EDGE COMPUTING.

Edge computing is changing the way data is handled, processed, and delivered from millions of devices around the world. The explosive development of Internet-connected devices – IoT – continues to run edge-to-system systems, with new applications requiring real-time computing power.

Edge computing systems allow fast networking technologies such as 5G wireless to accelerate the creation or support of real-time applications such as video processing and analysis, self-driving cars, artificial intelligence, and robotics.
Although the initial goals of the calculation were to offset the cost of data bandwidth for long-distance travel due to the development of data generated by IoT, the rise of real-time applications requiring edge processing would move the technology forward.

edge computing

What is Edge Computing?

Gardner Edge defines computing as “an area of distributed computing topology in which information processing is located near the edge – where goods and people produce or use that information.”

At its core level, Edge computing brings computing and data storage closer to the devices it collects, rather than relying on a central location thousands of miles away. This is done so that the data, especially real-time data, are not subject to delay issues that could affect the performance of the application. Also, companies can save money by processing locally, reducing the amount of data that needs to be processed in a centralized or cloud-based location.

edge computing

Edge computing was developed due to the rapid development of IoT devices, which connect to the Internet to retrieve information from the cloud or to transfer data to the cloud. Many IoT devices generate a lot of data during their operation.

Think of a device on the factory floor that monitors production equipment or a video camera connected to the Internet that sends live footage from a remote office. A device that generates data can easily transmit it over a network, while problems arise when the number of devices that transmit data increases. Instead of a video camera sending live footage, amplify it by hundreds or thousands of devices. Not only will the quality be affected due to the delay, but the costs on the bandwidth will be huge.

Edge-computing hardware and services help solve this problem by being the source of local processing and storage for many of these systems. A fringe gateway, for example, can process data from a fringe device and then only send relevant data through the cloud, minimizing bandwidth requirements. Or you can send data back to the margin device during real-time application needs.

These fringe devices may include an IoT sensor, an employee’s notebook computer, their latest smartphone, a security camera, or a microwave oven connected to the Internet in the office space. Edge gateways are considered marginal devices within an edge-to-system infrastructure.

edge computing

Why is Edge Computing Important?

For many companies, cost savings are the only driver to use an edge-to-system configuration. Companies that have embraced the cloud for their many uses may have found that bandwidth costs are higher than they expected.

However, the biggest advantage of Edge Computing is the quick processing and storage of data, which enables companies to make efficient efficient real-time applications. Before Edge Computing, the face recognition system must be run through a smartphone cloud-based service that scans a person’s face for facial recognition, which can take a lot of time to process. With the Edge computing model, the algorithm can run internally on an edge server or gateway or even on a smartphone, giving it the increasing power of smartphones. Applications such as virtual and magnified reality, self-driving cars, smart cities, and building-automation systems require quick processing and response.

“Global Edge Infrastructure (Calculation and Storage) Forecast, 2019-2023” report by IBC Research Director Kuba Stolarski states that “Edge computing robot [remote office branch] locations have evolved significantly from isolated IT days”. “Edge Infrastructure will be one of the key growth engines in the server and storage market for the next decade and beyond, with the development of advanced connections to more critical applications and new IoT and industry-based business application events.”

Companies like Nvidia recognized the need for more processing on the edge, which is why new computer modules with built-in artificial intelligence functionality are found in them. The company’s latest Jetson Xavier NX module is smaller than a credit card and can be built into smaller devices such as drones, robots, and medical devices. AI algorithms require a large amount of processing power, which is why most of them run via cloud services. The development of AI chipsets that can handle edge processing will allow for better real-time responses within applications that require instant computing.


Privacy and Security

However, like many new technologies, solving one problem can create others. From a security standpoint, the edge data is complex, especially when it is handled by different devices that are not as secure as a centralized or cloud-based system. As the number of IoT devices increases, it is imperative that IT understands the security issues surrounding these devices and ensure that those systems can be protected. This includes making sure the data is encrypted.


What is edge computing technology?

Edge computing is a distributed, open IT architecture that features decentralized processing power, enabling mobile computing and Internet of Things (IoT) technologies. In edge computing, data is processed by the device itself or by a local computer or server, rather than being transmitted to a data center.

Is Edge Computing new?

The IT industry loves a new paradigm. The latest paradigm is Edge Computing. ... Analysts describe Edge as the way to move data processing nearer the business, connecting millions of IoT devices, placing containers of equipment in fields all enabled with the speed of 5G networks.

What companies use edge computing?

Who's who in the edge computing world? Mutable. Main offering: Public edge cloud platform that uses microdata centers close to the end-user to host applications on Mutable distributed cloud. ... SWIM.AI. ... MobiledgeX. ... Affirmed Networks. ... Edge Gravity. ... Ori. ... Packet. ... EdgeConneX.

Why do we need edge computing?

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The most important benefit of edge computing is its ability to increase network performance by reducing latency. ... By processing data closer to the source and reducing the physical distance it must travel, edge computing can greatly reduce latency.

What is edge computing and why does it matter?

Edge computing allows for more efficient machine learning by distributing the processing load to the sensors and other edge devices. The data that must be sent to and retrieved from the cloud can be summarized or coded by the local devices to allow for much smaller packages to be sent over the cloud

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