Examples of using Fog computing in English and their translations into Vietnamese
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Future of Fog Computing.
A fog computing fabric can have a variety of components and functions.
Future work of FOG Computing.
In fog computing, transporting data from things to the cloud requires many steps.
The difference between edge and fog computing.
The term fog computing is used to describe the connections between edge devices and the cloud.
The platform is the key to universal services and, generally,the implementation of fog computing.”.
Both edge computing and fog computing are strongly on the rise for the same exact reasons: an IoT data deluge.
As IoT moves into more eccentric and disconnected environments,the necessity of edge or fog computing will become more prevalent.
First, fog computing, as term is coined by Cisco as we describe in our article on fog computing.
In the same article we also said that fog computing is a form of edge computing, in the‘old sense' that is.
Fog computing, therefore, includes both edge computing and the rest of the network required to transport the processed data to the central cloud.
As a reminder: in the previously mentioned April 2017 trends and evolutions articlewe didn't talk about edge computing but about fog computing and the time has come to explain that.
To address these, edge and fog computing are becoming important as data analysis occurs closer to the device than a central cloud.
On November 19, 2015, Cisco, alongside ARM Holdings, Dell, Intel, Microsoft, and Princeton University, founded the OpenFog Association,to boost interests and development in fog computing.
Both fog computing and edge computing are such architectures with a few essential goals: speed in general and in critical or remote contexts;
Ponomarev says that it is very important for them to see huge support from the community, as the next step they are planning is to test their platform with companies which are ready to replace AWS,an alike with the fog computing platform developed by SONM.
To do so, the company is focusing on fog computing and smart contracts to give users a cheaper, more reliable alternative to services like AWS.
Fog computing extends the concept of cloud computing to the network edge, making it ideal for Internet of Things(IoT) and other applications that require real-time interactions.
There is no doubt that both Edge and Fog Computing are the future of software development, so you should dig into that while it's still new and unexplored.
Fog computing is the concept of a network fabric that stretches from the outer edges of where data is created to where it will eventually be stored, whether that's in the cloud or in a customer's data center.
Before we start: do note that edge computing nor fog computing are just about IoT though However, in this article we mainly look at it from that perspective of course.
At the same time fog computing is also part of the broader definition and evolution of cloud which IDC calls Cloud 2.0 and encompasses industry clouds and cloud everywhere, including fog. .
Cisco says that the solution is todo more computing closer to the sensors(fog computing) that are gathering the data in the first place, so that the amount of data that needs to be sent to the centralized servers is minimized and the latency is mitigated.
In our article on fog computing we also mentioned that edge computing is not new, whereas at the time of writing about it, fog computing was definitely‘new'.
Still, there is a difference between fog computing and edge computing and the exact(technological) ways in which they play a role in the IoT ecosystem, mainly in industrial IoT that is(but not just there).
Looking to seriously amplify the use of fog computing, the IEEE has defined a standard that will lay the official groundwork to ensure that devices, sensors, monitors, and services are interoperable and will work together to process the seemingly boundless data streams that will come from IoT, 5G and artificial intelligence(AI) systems.
The difference between the two architectures, fog computing and edge computing, resides in where the intelligence and computing power needed to achieve all those goals sits, as is tackled in this great article where David King of FogHorn Systems and Matt Newton of Opto 22 explain it to author David Greenfield.
Smart devices locatedanywhere in the world are able to participate in the fog network and sell computing power peer-to-peer through the SONM Application Pool.