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With the forecast of over 30 billion IoT devices beingness deployed globally by 2020, the amount of data stored in the cloud is hard to imagine. Not to mention the processing ability needed to derive whatsoever tangible value from it.

No wonder concern owners are increasingly looking to ameliorate the performance and reduce operational costs of their IoT products. One of the means to do and then is by handling the data outside of the principal deject or at its "border".

So, if you are planning to build an IoT app for your concern or want to optimize your current products, border computing might be a rubber bet for you lot. To learn more about the advantages of edge computing and its real-life use cases, read on.

Why pure cloud computing isn't the all-time option for IoT

With 83% of enterprise workloads being handled in the cloud (by 2020), co-ordinate to the LogicMonitor survey , cloud adoption is soaring. And in that location are some good reasons for that: reduced operational costs, meliorate scalability, faster app deployment, increased reliability, etc.

Yet, when it comes to IoT, traditional cloud calculating has a number of drawbacks. Here are three of them:

Data security threats. Data is constantly beingness transmitted dorsum and along betwixt the deject and a device, and equally such, the risk of privacy violation is heightened.

Functioning issues . IoT applications rely heavily on real-time actions. Yet, the processing speed of your deject-based app frequently depends on the actual distance between the device itself and the server location.

Operational costs coincidentally grow every bit the amount of data produced and shared increases.

On top of that, most data sourced to the cloud ofttimes bears no practical value and is never used . So, why waste product your arrangement'due south resource and cloud storage space on irrelevant and useless data when you can handle and proceed it correct where it's generated – on the device?

This is why more than businesses are facing the edge calculating vs deject computing dilemma.

So, let's get straight to the point and find out how edge computing helps IoT, and why it's better than the cloud.

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What is border computing and why does it matter?

Let's start with the definition of edge computing.

The term refers to the computation of information that happens right where the data is produced, i.e. "at the border" of the IoT network.

So, instead of having a centralized, remote cloud to do all the piece of work, the data is handled and stored locally, i.e. on the IoT device itself or at the nearest network node.

But how does edge computing piece of work?

To explain how it works in real life, we can take whatever smart device out there as an instance.

Every IoT sensor produces tons of information every 2d. In the example of cloud computing, the information is instantly transferred to the central, unified cloud database where information technology's candy and stored.

If there's any action required, the central server will send its response dorsum to the device upon receiving and analyzing the caused data.

While the whole process typically takes less than a second to complete, there might be situations when the response may be delayed or interrupted. This tin can happen due to a network glitch, weak internet connection, or simply considering the data center is located too far from the device.

Now, in case of border calculating, yous don't need to ship the data acquired past the IoT sensors anywhere. The device itself or the nearest network node (e.chiliad. the router) is responsible for information processing and can respond in a proper mode if action is required.

Every bit a result, the IoT device is no longer dependent on the internet connection and can function every bit a standalone network node.

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The benefits and real-life use cases for edge computing in IoT

As you can meet, the main purpose of edge computing is to decentralize information handling. This leads to a number of advantages over the traditional cloud.

Namely, there are 5 main advantages of edge computing for IoT :

1. Increased data security

While IoT solutions represent a perfect target for cyber attacks, edge computing tin can aid you secure your networks and better overall data privacy.

Because the data is decentralized, distributed among the devices where it is produced, it's difficult to take downward the whole network or compromise all of the data with a single attack.

This approach is besides preferred in terms of GDPR compliance: the less sensitive data is sent through your network and stored in your deject, the better.

two. Amend app performance

Every bit mentioned above, information technology takes some time for the information travel back and forth betwixt the device and the information center.

By storing and processing the information shut to its source, you lot reduce the lag time and improve the overall app performance. As a result, you can analyze the information in real-time, without delays.

3. Reduced operational costs

When you store and process virtually of the data "at the edge", yous don't need an affluence of deject storage. Plus, you lot can filter out the unnecessary data and fill-in only the relevant data.

Every bit a effect, your infrastructure costs volition inevitably get down.

4. Improved business efficiency and reliability

Lower data traffic and reduced cloud storage, in plow, lead to more than efficient business operations.

Additionally, connection issues won't exist extremely problematic equally they are for other IoT products that rely on the cloud. This is due to the fact that your devices can piece of work autonomously, without internet connection.

v. Unlimited scalability

Dissimilar cloud, edge computing allows y'all to calibration your IoT network as needed, without reference to the available storage (or its costs).

As a upshot of the listed benefits, edge computing actually shines when it comes to time-sensitive tasks .

Namely, McKinsey finds that the industries with the almost edge computing use cases are

travel, transportation, and logistics
energy
retail
healthcare
utilities

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Image source: mckinsey.com

Here are 3 applied IoT edge computing examples to demonstrate how information technology can be used across the listed industries:

Democratic vehicles

Cocky-driving cars correspond one of the important IoT edge computing use cases.

A moving vehicle simply cannot rely on a remote server to make up one's mind if it needs to cease when in that location's a pedestrian crossing the road in front end of it. The determination needs to exist made immediately. The data has to be processed on the spot, regardless of the internet connection.

Plus, vehicles (while on the route) tin communicate with each other more efficiently because they don't need to send data well-nigh accidents, weather conditions, traffic or detours to the remote server first.

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Healthcare devices

One more applied instance for edge calculating lies within the domain of health monitors and other wearable devices. When used in telemedicine for keeping track of the patient's chronic weather condition, they tin can become real life-savers.

For example, a heart rate monitor capable of analyzing health information independently, can instantly provide the necessary response to alert caregivers when a patient needs their assistance.

Robot-assisted surgery is some other utilize case for edge computing in healthcare, especially when every nanosecond can mean the difference between life and death. These robots need to be able to analyze information on their own in lodge to provide assistance in surgery safely, quickly and accurately.

healthcare-iot-devices

Security solutions

Any security organization should be able to reply to security threats within seconds. That is why it makes sense to utilize edge computing for surveillance systems.

As a result, with on-device video processing, cameras can detect motion, identify trespassers, and instantly alarm users in example of trespassing or suspicious activity.

Then, instead of transferring tons of raw data to the servers for processing, such cameras salvage your internet traffic, reduce the bandwidth and cloud storage while improving the speed and the accuracy of a response.

application-security

In improver to the listed examples, there are more employ cases for edge computing:

Traffic lights or air current turbines don't need to communicate with the deject 24/7 (or information technology also happens that sometimes they can't connect to the server at all) and can exist completely automatic.
Streetlights can create a cocky-sustaining, democratic arrangement past communicating direct with each other instead of being mediated past the remote cloud.
Smart sensors in agriculture don't need to plough to the central server to decide when they need to water the plants nearby or add together fertilizers. They tin easily perform the routine tasks on their own and sync with the main cloud once in a while.

And this list tin can get on.

The future of IoT is at the border

By 2022, 75% of enterprise data volition exist processed outside of the cloud (also equally traditional data centers), co-ordinate to Gartner . As a result, the size of the edge computing market place will surpass $13 billion worldwide within the same timeframe.

Taking into account the existing tendency, IoT developers and concern owners should seriously consider edge computing for their upcoming products. Otherwise, they will be left behind once the competitors accept full advantage of this applied science.

So, if you are planning to invest in IoT evolution or want to meliorate your current products, start by finding a reliable technology partner to help you navigate the pitfalls forth the way.

Our team at Eastern Peak has a solid IoT development portfolio and tin can help you develop an optimal transition strategy for your existing products or build a new ane from scratch.

Contact us now and receive free expert advice on how to go started with your edge computing strategy.

Read also:

5 Tech Trends (and 3 Challenges) for Enterprises in 2019
Cloud Migration: Guidance for Your Digital Transformation
Connecting the World: IoT Ideas for Business organisation
How to Protect Applications for Connected Cars? IoT Security Tips