Edge computing is an exciting new approach to network architecture that helps organizations overcome the limitations imposed by traditional cloud- based networks . We cloud computing continues to play an important role in modern network architecture, the exciting possibilities offered by Internet of Things (IoT) devices , which are capable of processing the data they collect closer to the source, compel Companies to rethink their approach to IT infrastructure.

While the basic principles behind edge computing are relatively simple, the substantial benefits of this new approach to network architecture are not always so obvious. Whether they try to enter the IoT market or find better ways to offer content services, companies should know the advantages of state-of-the-art computing.

What is Edge Computing?

Traditional cloud computing networks are highly centralized, and data is collected at the outermost edges and transmitted to the main servers for processing. This architecture arose from the fact that most of the devices located near the edge lacked the computing power and storage capacity to analyze or process the data they collected. Even when more devices became able to connect to networks via cell phones and WiFi, their functionality was relatively limited by their hardware capabilities.

All that has changed in recent years thanks to the miniaturization of processing and storage technology. Today’s IoT devices are quite powerful, capable of collecting, storing and processing more data than ever. This has opened opportunities for companies to optimize their networks and relocate more processing functions closer to where data is collected at the edge of the network. Since the data does not have to travel back to the central server so that the device knows that a function must be executed, edge computing networks can greatly reduce latency and improve performance.

The 5 best benefits of Edge Computing

1. Speed

The most important benefit of perimeter computing is its ability to increase network performance by reducing latency . Since IoT edge computing devices process data locally or in nearby edge data centers, the information they collect does not have to travel as far as it would under traditional cloud architecture .

It’s easy to forget that data doesn’t travel instantly; It is subject to the same laws of physics as everything else in the known universe. Current commercial fiber optic technology allows data to travel as fast as 2/3 of the speed of light , moving from New York to San Francisco in approximately 21 milliseconds. While that sounds fast, it doesn’t take into account the large amount of data that is transmitted. Since the world is expected to generate up to 44 zettabytes (one zettabyte equals one billion gigabytes) of data in 2020, digital bottlenecks are almost guaranteed.

There is also the problem of the “last mile” bottleneck , in which data must be routed through local network connections before reaching its final destination. Depending on the quality of these connections , the “last mile” can add between 10 and 65 milliseconds of latency.

By processing the data closer to the source and reducing the physical distance it must travel, edge computing can significantly reduce latency. The end result is higher speeds for end users, with latency measured in microseconds instead of milliseconds. Given that even a single moment of latency or downtime can cost companies thousands of dollars, the speed advantages of edge computing cannot be overlooked.

2. Security

While the proliferation of IoT edge computing devices increases the overall attack surface for networks, it also provides some important security advantages . Traditional cloud computing architecture is inherently centralized, which makes it especially vulnerable to distributed denial of service (DDoS) attacks and power outages. Edge computing distributes processing, storage and applications across a wide range of devices and data centers, making it difficult for a single interruption to eliminate the network.

One of the main concerns about IoT edge computing devices is that they could be used as an entry point for cyber attacks , allowing malware or other intrusions to infect a network from a single weak point. While this is a genuine risk, the distributed nature of the perimeter computing architecture facilitates the implementation of security protocols that can seal compromised portions without closing the entire network.

Since more data is being processed on local devices instead of transmitting it back to a central data center, peripheral computing also reduces the amount of data really at risk at any time. There is less data to be intercepted during transit, and even if a device is compromised, it will only contain the data it has collected locally instead of the large amount of data that could be exposed by a compromised server .

Even if an edge computing architecture incorporates specialized edge data centers , they often provide additional security measures to prevent crippling DDoS attacks and other cyber threats. A high quality data center should offer a variety of tools that customers can use to protect and monitor their networks in real time.

3. Scalability

Building a dedicated data center is an expensive proposition . In addition to the significant initial construction costs and ongoing maintenance, there is also the issue of tomorrow’s needs. Traditional private facilities impose an artificial restriction on growth, forcing companies to forecast their future computing needs. If business growth exceeds expectations, they may not be able to take advantage of opportunities due to insufficient IT resources.

4. Versatility

The scalability of cutting-edge computing also makes it incredibly versatile . By partnering with local data centers, companies can easily target desirable markets without having to invest in costly infrastructure expansion. Perimeter data centers allow them to serve end users efficiently with little physical distance or latency. This is especially valuable for content providers looking to offer uninterrupted streaming services . Nor do they limit companies with a large presence, which allows them to swiftly change to other markets if economic conditions change.

Edge computing offers a much less expensive route to scale-ability , allowing companies to expand their computing capacity through a combination of IoT devices and edge data centers. The use of edge computing devices with processing capacity also relieves growth costs because each new device added does not impose substantial demands on bandwidth at the core of a network.

Edge computing also allows IoT devices to collect unprecedented amounts of process-able data in Operating System. Instead of waiting for people to log in with devices and interact with centralized cloud servers, perimeter computing devices are always on, always connected, and always generate data for future analysis. The unstructured information gathered by perimeter networks can be processed locally to provide fast services or delivered to the core of the network, where the powerful analytical machine learning programs and the analyze to identify trends and notable data points. With this information, companies can make better decisions and meet the real needs of the market more efficiently.

By incorporating new IoT devices into its edge network architecture, companies can offer new and better services to their customers without completely reviewing their IT infrastructure. Devices designed with a purpose provide a wide range of possibilities to organizations that value innovation as a means to drive growth. It is a great benefit for industries looking to expand the reach of the network to regions with connectivity limited (as the sector ‘s health and manufacturing ).

5. Reliability

Given the security advantages provided by perimeter computing, it should not surprise us that it also offers greater reliability. With IoT edge computing devices and edge data centers located closer to end users, there is less chance that a network problem in a distant location affects local customers. Even in the case of a disruption to the nearby data center , IoT edge computing devices will continue to function effectively on their own because they handle vital processing functions natively.

With so many edge computing devices and edge data centers connected to the network, it becomes much more difficult for any service failure to close completely . Data can be redirected through multiple channels to ensure that users retain access to the products and information they need. Therefore, the effective incorporation of IoT edge computing devices and edge data centers into an integral edge architecture can provide unmatched reliability.

What is the impact of Edge Computing on society?
As innovative devices, such as autonomous vehicles and medical sensors, become more common, state-of-the-art computing will have a growing impact on society . With the border computing framework, organizations will be able to extend network services to areas that were previously beyond the reach of traditional architectures. In the case of many devices, the ability to improve performance could literally save lives. Consider, for example, the health impact of using medical devices in hard-to-reach rural areas with limited health care options. Edge computing can also improve security for industrial manufacturing by identifying equipment problems before they cause failures that could harm workers.

Disadvantages of Edge Computing

By far, the biggest challenge of cutting-edge computing is to make these distributed networks safe. Although there are significant security advantages for a perimeter network, a poorly implemented system could be left vulnerable. The perimeter computing architecture greatly expands the attack surface of a network, creating a variety of potential access points for cyber attacks. That is why industry experts are already working hard thinking about how to implement new approaches such as zero confidence security. to ensure that IoT devices that enhance the cutting edge computing framework do not turn against users and organizations. With so much data collected, organizations cannot afford to tolerate the risk of a data breach.

Make the commercial case

The amount of IoT devices in circulation today is already astounding, and there are many data that suggest that this figure will increase significantly in the coming years. With so many IoT devices connected to networks around the world, state-of-the-art computing is already having a big impact on how companies design their systems. The continued demand for faster and more efficient services and content delivery will push organizations to improve their existing perimeter networks. Companies that today do not invest in state-of-the-art computing could find themselves in an unenviable position of fighting to reach their competitors for years to come.

Edge computing offers several advantages over traditional forms of network architecture and will surely continue to play an important role for companies in the future. With more and more devices connected to the Internet in the market, innovative organizations have probably only scratched the surface of what is possible with cutting-edge computing.

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