K
Kathleen Martin
Guest
The topic of cloud has disseminated across enterprises and stakeholders interested in digital transformation. Organizations looking up the technical term may find it difficult to grasp at first with emerging varieties and applications of the cloud. And now, there’s fog and edge computing that are new to the boardroom, and part of important business discussions everywhere.
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Is edge computing key to 5G infrastructure?
Here’s a really quick guide for CXOs to explain what cloud, fog, and edge computing really are, and why they’re suddenly so important to enterprises. We’ll dive into fog and edge computing and then circle back to cloud computing to compare the three.
Lifting the fog on fog computing
Fog computing is simply a way for companies to decentralize their computation and analytical power in order to make their “connected” ecosystems more efficient.
“Fog provides the missing link for what data needs to be pushed to the cloud, and what can be analyzed locally, at the edge,” said Purdue University’s College of Engineering Dean Mung Chiang.
Given the rising importance of fog computing to the age of industrial automation and autonomous transportation, a new organization called The OpenFog Consortium has been created to help make fog computing easier. “Fog computing is a system-level horizontal architecture that distributes resources and services of computing, storage, control and networking anywhere along the continuum from Cloud to Things,” according to the Consortium.
In essence, as a result of fog computing, companies are able to use the computing power on nodes — between devices that collect or generate data and the official enterprise cloud platform — to quickly generate insights and make decisions that matter.
Closing in on edge computing
Edge computing, in many ways, is easier to understand than fog computing. It essentially means that all computing happens on the device itself, and only important is related back to the enterprise cloud (maybe via the fog).
Let’s take autonomous cars as an example to understand edge computing. When autonomous cars are accepted by consumers and used commonly, there will be plenty of cars on the road. For all of them to send data to the cloud and wait for a response in order to take action is quite impractical.
Although 5G will make wireless communications much more efficient and powerful, they’ll still be unable to cater to the demands of the world’s autonomous cars. Hence, the car itself needs to be able to compute and make decisions based on the data it gathers.
Continue reading: https://techhq.com/2021/10/shedding-light-on-fog-cloud-and-edge-computing-for-cxos/
READ NEXT
Is edge computing key to 5G infrastructure?
Here’s a really quick guide for CXOs to explain what cloud, fog, and edge computing really are, and why they’re suddenly so important to enterprises. We’ll dive into fog and edge computing and then circle back to cloud computing to compare the three.
Lifting the fog on fog computing
Fog computing is simply a way for companies to decentralize their computation and analytical power in order to make their “connected” ecosystems more efficient.
“Fog provides the missing link for what data needs to be pushed to the cloud, and what can be analyzed locally, at the edge,” said Purdue University’s College of Engineering Dean Mung Chiang.
Given the rising importance of fog computing to the age of industrial automation and autonomous transportation, a new organization called The OpenFog Consortium has been created to help make fog computing easier. “Fog computing is a system-level horizontal architecture that distributes resources and services of computing, storage, control and networking anywhere along the continuum from Cloud to Things,” according to the Consortium.
In essence, as a result of fog computing, companies are able to use the computing power on nodes — between devices that collect or generate data and the official enterprise cloud platform — to quickly generate insights and make decisions that matter.
Closing in on edge computing
Edge computing, in many ways, is easier to understand than fog computing. It essentially means that all computing happens on the device itself, and only important is related back to the enterprise cloud (maybe via the fog).
Let’s take autonomous cars as an example to understand edge computing. When autonomous cars are accepted by consumers and used commonly, there will be plenty of cars on the road. For all of them to send data to the cloud and wait for a response in order to take action is quite impractical.
Although 5G will make wireless communications much more efficient and powerful, they’ll still be unable to cater to the demands of the world’s autonomous cars. Hence, the car itself needs to be able to compute and make decisions based on the data it gathers.
Continue reading: https://techhq.com/2021/10/shedding-light-on-fog-cloud-and-edge-computing-for-cxos/
