[vc_row][vc_column][vc_column_text]The Internet of Things (IoT) represents a remarkable transformation in the way our world will interact soon. It seems poised to interconnect devices, people, environments, virtual objects, and machines in ways that only science fiction writers could have imagined.
However, to achieve its full development, IoT still faces an obstacle, which has not yet been transposed by Cloud Computing: the limitation of bandwidth. And that’s where Fog Computing comes in.
The data traffic and real-time processing growing increase have overwhelmed networks and cloud systems. The solution proposed with Fog Computing is to “push” data treatment and storage services near to the devices that generate them and then synchronize with a central cloud. To understand more, keep reading!
What is Fog Computing?
In its literal sense, the fog is a cloud at ground level. Thus, Fog Computing is the approach of the cloud to devices that collect and transmit data.
The term Fog Computing was introduced by Cisco in 2013. The company describes this technology as a collection of resources aimed at increasing processing capacity and cloud storage to support (but not be limited to) IoT.
What is the difference between Cloud Computing and Fog Computing?
Both Cloud Computing and Fog Computing provide storage and data processing, among other solutions. However, the fog has a greater proximity to the end users and greater geographic distribution. See other differences between them:
Fog Computing: is a decentralized computing infrastructure in which data, processing, storage, and applications are distributed in the most logical and efficient location between the generating source and the cloud.
The fog basically extends Cloud Computing and its services to the edge of the network, bringing its advantages and benefits closer together. However, it has other advantages such as low latency and less reliance on internet connections in data transmission.
Cloud Computing: is a centralized architecture and consists of large data centers that can be located around the world. In addition, the cloud is more powerful than fog over processing capabilities and storage capacity. However, it relies heavily on Internet connections.
How does Fog Computing work?
In Fog Computing, all processing happens on devices physically closer to where data is collected. Thus, it is possible to maximize response speed and reduce traffic with the central cloud.
However, not all information will be sent to the fog, only those workloads that require low latency or fast response times. The other loads, which require large processing capacity, will continue to be directed to the cloud.
Why the Internet of Things needs Fog Computing?
The growth of IoT has led to a colossal increase in the volume of digitally generated data, a factor that has created obstacles for its development. In this sense, Fog Computing has become a necessary resource.
Know more about the main technical reasons why IoT needs Fog Computing:
Significant traffic reduction: With the data processing on the edge, the fog reduces congestion, cost, and latency, eliminating bottlenecks resulting from centralized computing systems.
Security: In Fog Computing, data is processed by a large number of nodes in a complex distributed system. In addition, they are encrypted before being sent to the central cloud, ensuring greater security throughout the cycle.
Latency reduction: This is the most important reason for the development of IoT. Since Fog Computing services have low latency, it is possible to support real-time processing and systems such as Artificial Intelligence, Virtual Reality, control loops, streaming data analysis, and more.
Now that you know the relationship between Fog Computing and the Internet of Things, it is time to understand how can technology help the new business.[/vc_column_text][/vc_column][/vc_row][vc_row][vc_column][ultimate_icons][/ultimate_icons][/vc_column][/vc_row]