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What is the cloud? How does it evolve into the Internet of Things (IoT)?

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While the cloud is not technically necessary for the IoT, its use in many iot applications can bring significant benefits. Why?

These days, it seems like every app or device is connected to the cloud in some way, whether it's storing data, processing data, or working in the cloud.iot modules However, if you're new to the Internet of Things (IoT) or you're not particularly tech-savvy, you may be unsure what this means. In this article, we take a brief look at how the cloud came about, explain how it works, and how it can benefit your business or deployment.

What is the cloud?

Since the 1970s, the use of large computer systems for corporate leasing has been common. These systems are so large and expensive that it makes no economic sense for companies to own their own computing power.5g fwa Instead, they were owned by large corporations, government agencies, and universities.

Microprocessor technology greatly reduced size and cost, leading to the advent of the personal computer, which became very popular in the 1980s. Suddenly, organizations could (and did) introduce computing in-house.

However, with the spread of economic high-speed connectivity, the trend reversed: businesses proceeded to once again rent computing technology capabilities from other social organizations. But this is why we?

Instead of buying expensive hardware for in-house storage and processing, rent it at low cost in the cloud. The cloud is a huge interconnected network of powerful servers that can serve businesses and individuals.

The Internet of Things and the Cloud

Because activities such as storage and data processing occur in the cloud, rather than on the devices themselves, it has a big impact on the IoT. Many IoT systems use a large number of sensors to collect data and then make informed decisions.

Using the cloud is important for aggregating data and deriving insights from it. Without the cloud, it would be much more difficult to compare data across a wider range of areas.

Using the cloud also allows for high scalability. When you have hundreds, thousands, or even millions of sensors, putting a lot of computing power on each sensor can be very expensive and energy intensive. Instead, data can be transferred from all those sensors to the cloud and aggregated there.

For most of the IoT in the enterprise, the head (or rather, the brain) of the system is in the cloud. Sensors and devices do the work of collecting relevant data and performing administrative actions, but the processing/commanding/analyzing (also known as the "smart" stuff) usually happens using the cloud.

So does IoT need the cloud?

Strictly speaking, the answer is no. Data processing and commands can be done locally, not in the cloud via an internet connection. Called "fog computing" or "edge computing," this actually makes sense for some iot applications.

However, there are many benefits to using the cloud for many IoT technology applications. Choosing not to use the cloud will significantly slow down the industry's market growth due to increasing overhead costs. Importantly, cost and scalability are not an exclusive factor.

Is the cloud all right for IoT?

The benefits of the cloud for IoT are: reduced upfront costs for businesses and construction of infrastructure; storage/computing can be paid for on-demand; high system scalability and availability; extended lifespan of battery-powered sensors/devices; the ability to study large amounts of data by aggregating it; and the ability to become "smart" on our own by connecting to anything connected to the Internet with Internet technology. ".

However, there are some legitimate concerns about the use of the cloud.

Data ownership. When you store data and information in your company's cloud service, do you own a data technology or does the cloud provider? This is very important for companies researching IoT applications involving personal development data (e.g., healthcare or smart home).

Potential crashes. IoT applications will not work if the connection goes down or the cloud service itself crashes. For some IoT applications (e.g., smart agriculture), a short-term inability to operate may not be a big problem, but it could be devastating for others.

It takes time for the latent to send data to the cloud and send commands back to the device. In some IoT applications, those milliseconds can be critical, such as in health and safety.

So when we ask whether the cloud is right for the IoT: It depends on whether the IoT is a broad field encompassing a wide variety of applications. There is no one-size-fits-all solution, so companies need to consider their specific applications when deciding whether the cloud makes sense for them.

 

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