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Cloud and Fog Computing into IoT implementations

One of the fundamental components in the implementation of technologies related to IoT is the Cloud, which is a method of storing data made available through the Internet.
However, there is another cloud that is a complement to the real Cloud: Fog Computing.
Like a diffused fog (as the English term suggests) this type of computing moves at a lower level, closer to users and machines.In this sense, the Fog is highly available, secure, virtualized able to provide edge computing, networking, storage and to allow a powerful convergence between IT technologies and industrial operating technologies.Being closer to the sources of data production, they integrate security in real time.The ideal scenarios in which Fog Computing can optimize processes in the IoT field are:Automotive, more specifically in driverless cars, cars that operate independently requiring the ability to locally analyze certain data in real time, such as the surrounding environment, driving conditions and directions;Smart Cities that need a large number of sensors connected together;All cases in which a real-time analysis is required, such as production systems that must be able to react to events as they occur, to financial institutions that use data to inform commercial decisions or monitor fraud .An excellence in Fog Computing:www.caligoo.comCaligoo's analysis://www.caligoo.com/wp-content/uploads/2018/09/IoT.pdf

One of the fundamental components in the implementation of technologies related to IoT is the Cloud, which is a method of storing data made available through the Internet.
However, there is another cloud that is a complement to the real Cloud: Fog Computing.
Like a diffused fog (as the English term suggests) this type of computing moves at a lower level, closer to users and machines.

In this sense, the Fog is highly available, secure, virtualized able to provide edge computing, networking, storage and to allow a powerful convergence between IT technologies and industrial operating technologies.

Being closer to the sources of data production, they integrate security in real time.

The ideal scenarios in which Fog Computing can optimize processes in the IoT field are:

  • Automotive, more specifically in driverless cars, cars that operate independently requiring the ability to locally analyze certain data in real time, such as the surrounding environment, driving conditions and directions;

  • Smart Cities that need a large number of sensors connected together;

  • All cases in which a real-time analysis is required, such as production systems that must be able to react to events as they occur, to financial institutions that use data to inform commercial decisions or monitor fraud .

An excellence in Fog Computing:

www.caligoo.com

Caligoo's analysis:

//www.caligoo.com/wp-content/uploads/2018/09/IoT.pdf

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