Edge vs Fog: Cloud Computing Layers Explained

Fog computing and edge computing are terms that are sometimes used interchangeably - but there is a difference. In this video, we demystify what has become a confusing alphabet soup of terminology around where computing resources are located on a network. Learn more here: www.onlogic.com/company/io-hu...
Both involve bringing data computation and intelligence closer to where the data is created. But edge computing is data computation that happens in close proximity to where the data is being made, and fog computing acts as a mediator between the edge and the cloud for purposes like data filtering and analytics.
#fogcomputing #edgecomputing
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OnLogic designs and manufactures powerful, highly-configurable small form factor industrial and rugged computers that thrive where others fail. Learn more about how OnLogic helps innovators make it possible at www.OnLogic.com. #IIoT #edgecomputing
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[@MyPriyanjali]

Finally...a simple and perfect explanation video!!❤

[@OnLogic]

We're glad you enjoyed it. Thanks for watching!

[@Rahul-pu5wv]

best

[@michaelkatetteh9005]

Very precise and clear explanation. Thank you

[@ArbazKhan-jl5jm]

a very clean & precise expiation

[@OnLogic]

Thanks! Happy to hear that you enjoyed it

[@justinkenyon972]

I love the personlilty added to these videos! Theyre fun to watch, and I DID appreciate the fog pun

[@OnLogic]

Thanks, Justin, we appreciate that!

[@zabinoori49]

Very Short and clear in simple term thanks I really enjoyed.

[@OnLogic]

Thanks for watching! We are glad you enjoyed it.

[@DF-bd4hl]

Very clear explanations. Thank you ! :D

[@OnLogic]

Thanks for watching!

[@banana-c5m]

Thanks a ton!

[@hmpbs6679]

huge help thanks!

[@OnLogic]

Great to hear!

[@baveena5700]

Great explanation - thanks!

[@OnLogic]

Our pleasure, happy to hear it was helpful.

[@dejasbeautyxoxo1361]

This video was BEYOND HELPFUL omg because I was lost in the mffff sauce !! That pyramid diagram really gave me a great visual to understand what was going on because just reading had me so confused ! Thank you so so much!

[@OnLogic]

Very happy to hear you found it useful, thanks for taking the time to leave a comment.

[@chediessghaier7321]

A clear explanation finally.. Thank you :D

[@OnLogic]

Glad it helped!

[@nvm3172]

amazing

[@OnLogic]

Happy you enjoyed it :)

[@Depzzz_]

still confused, but i am at least less confused now XDD... thanks tho. appreacate it:)

[@mfrice]

Great video!

[@OnLogic]

Happy you enjoyed it!

[@mibrahim4245]

Great video !! ..
but I have a question: imagine I have ESP32 connected to a temp sensor and I want to make analytics for the temp readings as in the example you've mentioned.
I have the ESP32 as the edge computer, right ? and I have - for example - the Arduino IoT core as the cloud server that makes these analytics and graphs etc...
what example of a Fog computer can be used in this case?
Thanks

[@OnLogic]

Thanks for the kind words and for the question! You can definitely look at the ESP32 as the edge computer in that scenario (it's doing the data collection right where the sensor is picking it up). In that instance, you could simply connect the ESP32 with the Arduino cloud without the need for a fog computer if you wanted, here's a tutorial for that with the caveat that we have not verified it: docs.arduino.cc/arduino-cloud/getting-started/esp-32-cloud.
However, if you first wanted to batch your temperature information, do preliminary analysis on it, and then only send the relevant data you choose to the cloud for additional analytics and graph creation, you could insert a fog layer/device. For temperature measurement data a lower powered gateway would do the trick, but other factors like environment, space constraints, budget, and power draw play into the decision as well. If you used something like an IoT Gateway (www.onlogic.com/computers/iot-gateways/), you could probably use it for other tasks in addition to your fog-level computing.

[@mibrahim4245]

@@OnLogic thank you so much

[@OnLogic]

@@mibrahim4245 You are very welcome!

[@raebmalo1098]

great video, thanks!

[@OnLogic]

Happy you enjoyed it!

[@raebmalo1098]

@@OnLogic hope its okay if i use this (and the website) for my thesis? gonna cite everything accordingly to its standards:)

[@OnLogic]

@@raebmalo1098 Good luck with your thesis!

[@threepennyg]

Try to demystify 'fog' computing🤭

[@OnLogic]

😉