Fog computing is an emerging technology that bridges the gap between cloud computing and edge computing.
Its basically a decentralized web link of computing infrastructure or data-crunching processes.
Fog computing is also known as fogging and fog networking.
It brings the power of the cloud closer to the data collection unit.
This connection has storage capacity, processing capability, and analytics apps.
Its the same place where the edge computing system is situated.
In situations when edge computing is unable to process data, it sends the collected data to fog computing.
Then, itll send the processed data to the cloud for archiving.
Here, data analysis takes place at a close point to the data source.
Therefore, it provides minimum latency as opposed to other technologies.
Take the example of power distribution and the healthcare industry, where every second is valuable.
Maximized Security
IoT unit-generated data needs the utmost protection against unauthorized access from cyber criminals.
All these check that that the data remains secure in transit and at rest.
Moreover, it reduces the internet dependency of the companies for analysis.
So, only a limited amount of data needs transportation.
Data Privacy
Fog computing is also very good at ensuring data privacy.
Businesses that deal with personal information and mission-critical data find fog computing beneficial.
However, data subsets requiring a higher level of analysis are moved to the cloud server.
Still, the data processed in this throw in of computing is comparatively safer.
Cost-Effectiveness
The whole concept of fog computing involves less expense than cloud computing.
The need for less bandwidth means cutting down on operational costs.
Companies that choose this pop in of computing see a reduction in overall cost to the company.
Since this throw in of computing needs less data pipe bandwidth, the operational cost gets cut significantly.
Better Reliability
IoT devices often need to perform in challenging environmental conditions.
Real-Time Analytics
Companies performing fog computing can also have real-time access to data analytics.
Especially finance, banking, and manufacturing companies need analytics data for instant decision-making.
Fog computing benefits such businesses with its quick and real-time data transfer.
Hence, Its not possible to access it from a remote location.
Security Concerns
Fog computing isnt free from security issues.
It might fall victim to IP address spoofing or Man-in-the-Middle (MitM) attacks.
More costly hardware like routers, gateways, hubs, etc., are needed.
Ultimately it becomes challenging to scale up fog computing models.
Next up,What Is a Computer web link?
