What is Fog Computing and What is its Importance?

Cloud computing now has been accepted by worldwide organizations as they all move towards the IoT to be better interconnected. Subsequently, much advancement has been seen in the Internet of Things (IoT) space like mobiles, self-driving vehicles, E-Surveillance Security Systems and drones. As time goes on, more and more things will be connected by wireless technology, which may lead us to a bigger challenge related to IoT bandwidth.

What is “fog?”

The fog is a part of cloud-based computing. An even, framework-level architecture that brings processing, storage, network and control functioning nearer to the clients along a cloud-to-thing continuum.

For empowers us to build solutions:

• Location awareness.
• Mobility.
• Wide topographical dispersion.
• Low latency.
• Wireless access.

“Smart” fog

• Fog itself doesn’t mean addition of layers between the cloud and the surface. It acts as an enhancer for all the smart IoT gadgets and the new capacities that make it possible are:
• Sharing assets starting with one gadget then onto the next one.
• Taking prompt decisions.
• Contextual data for personalized intelligence enhancing user experience.
• Autonomous system that works locally can make choices like saving energy and bandwidth, enhancing data security, and diminishing latency.
• Smooth out the online-to-offline function by utilizing the actual closeness of the client for better verification and cross-sell openings.

E-surveillance and Fog go hand-in-hand

CCTV security camera systems are being utilized worldwide by retail outlets, smart residences and urban communities, factories and warehouses, and so on to safeguard properties. They are totally dependent on camera sensors to recognize unapproved passage, pilferage, safety, reliability and effectiveness.

These cameras have the capability of generating terabytes worth of data in a day. Traditional cloud networks don’t seem to possess the capability to deal with this kind of enormous data, as they aren’t versatile and the sheer expense makes it impractical. Other than this, it is unfeasible to transfer this information to the cloud to acquire real-time insights.

Another highlight is that security should be local. Real-time monitoring and uncovering inconsistencies carefully needs low latency on surveillance frameworks; making latency central for both detection and reaction.

Fog provides the best chance to address the above worries by moving the decision-making gadget nearer to the end point. We harness fog architecture to bring data nearer to the end points and provide this filtered data for trend analysis.

Source — https://www.securens.in/blog/demystifying-fog-computing-and-its-role-in-e-surveillance-part-1/