What is Fog computing? And relationship with the Internet of Things.

- Advertisment -
- Advertisement -

Fog computing is a distributed collaboration architecture that manages the most effective locations for the specific data sources and services between the actual data source and the cloud. This type of computing is effectively extending cloud computing capabilities and services to the boundaries of the network, leveraging its strengths and capabilities to the point where data can be executed and operated.

What is Fog computing

The main goal of fog computing is to improve efficiency and to resolve the network traffic jam that may occur when transmitting to the cloud for calculation and storage. It is usually designed to increase the efficiency of the entire cloud program, but it can also be used to improve security and compliance.

How does the fog computing work?

Devices that generate or even collect data do not have the computing power and storage resources to perform various advanced analytical calculations and machine learning tasks. Therefore, fog can work because it operates at the edge of the network and in a sense is closer to the cloud.

Cloud servers have all the features needed to compute these projects, but they are often too far away to help in time. Because fog makes the endpoints closer, it can bring good results. In a foggy environment, all processing is usually done in a specific smart device or in a specific gateway. Therefore, all data sent to the cloud is effectively reduced.

Fog calculations and the Internet of Things

Since cloud computing is not feasible for IoT devices, it is necessary to replace them with fog computing.

It provides better overall distribution capabilities and ultimately meets the needs of the Internet of Things. It handles the resulting data size of these devices, making it an ideal way to handle them. Since fog calculations can effectively reduce the amount of bandwidth required and reduce the round-trip communication required between the cloud and various sensors, it can help to concatenate everything together without reducing the overall performance of the program or device.

Especially when you are considering IoT devices, this is an advantage that fog computing can provide. Because these devices are very resource intensive and demanding, they are the primary devices that use fog calculations. While latency can have a negative impact on some applications, it’s usually a good choice for these complex tasks and programs.

H2S Media Team
H2S is a group of tech enthusiasts those are passionate about latest technology developments. They always like to solve own technical problems and share the same solution with others through this Website.

LEAVE A REPLY

Please enter your comment!
Please enter your name here

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Latest Posts

4 Best Affordable Gaming Smartphone of 2020

The smartphone industry is rapidly expanding and this expansion is only going to increase at a very rapid rate....

AMANI introduces ASP-E1322 Explosive Earphones

AMANI recently has announced a brand new AMANI ASP-E1322 earphones in its wired audio products category. The launched product is...

SECUREYE launches S-F40 and S-C20 security & surveillance cameras

In India, the video surveillance market which is growing at 10.5% CAGR has already crossed Rs.5000 cr. Fuelled by...

4 Best Apps for Anger Management Issues for Android

It is true that technology has brought a drastic change in our lives and is continually doing so at...
- Advertisement -

Signs of Failing Hard drive that you should never ignore

The hard drive is undoubtedly one of the most important components of your computer, even though your computer cannot...

Prominent Edtech startups that are changing the way students learn

Education technology startups play a key role. Challenging the traditional education ecosystem, online education has now grown deep into...

- Advertisment -
- Advertisement -

You might also likeRELATED
Recommended to you