INSUBCONTINENT EXCLUSIVE:
Fog computing refers to a decentralized computing structure, where resources, including the data and applications, get placed in logical
basic analytic services to the network edge, improving performance by positioning computing resources closer to where they are needed,
thereby reducing the distance that data needs to be transported on the network, improving overall network efficiency and performance
Fog computing can also be deployed for security reasons, as it has the ability to segment bandwidth traffic, and introduce additional
the data, storage and applications on a distant server, and not hosted locally
With the cloud computing model, the client can purchase the services from a provider, which delivers not only the service, but also the
maintenance and upgrades, with the plus that they can be accessed anywhere, and facilitating work by teams.History of fog computingThe term
up in the sky, and the fog refers to the clouds down close to the ground
In 2015, an OpenFog Consortium was created with founding members ARM, Cisco, Dell, Intel, Microsoft and Princeton University, and additional
contributing members including GE, Hitachi and Foxconn
disadvantagesFog computing has a number of advantages
By adding the capability to process data closer to where it is created, fog computing seeks to create a network with lower latency, and with
less data to upload, it increases the efficiency at which it can be processed.There is also the benefit that data can still be processed
with fog computing in a situation of no bandwidth availability
Fog computing provides an intermediary between these IoT devices and the cloud computing infrastructure that they connect to, as it is able
to analyze and process data closer to where it is coming from, filtering what gets uploaded up to the cloud.A downside of cloud computing is
that all this computing over the network relies heavily on data transport
While broadband internet access has generally improved over the last decade, there are still challenges with accessibility, peak congestion,
lower speeds on mobile 3G and 4G cellular networks, as well as occasions of limited internet availability whether underground, off the grid
or on an airplane.This lack of consistent access leads to situations where data is being created at a rate that exceeds how fast the network
This also leads to concerns over the security of this data created, which is becoming increasingly common as Internet of Things devices
located at a fog node, which is considered a crucial ingredient in a cloud-fog-thing network
The fog node, which is located in a smart router or gateway device, allows for data to be processed on this smart device, so that only the
necessary data gets further transmitted to the cloud, and decreases the bandwidth used.Real world applications of fog computingAn example of
a use case for fog computing is a smart electrical grid
Electrical grids these days are quite dynamic, being responsive to increased electrical consumption, and lowering production when it is not
In order to run efficiently, a smart grid relies heavily on real time data of electrical production and consumption.Fog computing is ideal
for this as in some cases the data is created in a remote location, and it is better to process it there
In other situations, the data is not from an isolated sensor, but rather from a group of sensors, such as the electrical meters of a
neighborhood, and it is better to process and aggregate the data locally, than to overload the data throughput by transmitting the raw data
known as V2V in the US, and the Car-To-Car Consortium in Europe
connects to the other vehicles as well as traffic signals and the streets themselves, with the promise of safer transportation for better
collision avoidance with traffic that flows more smoothly.Each vehicle has the potential to generate quite a bit of data just on speed and
direction, as well as transmitting to other vehicles when it is braking, and how hard
As the data is coming from moving vehicles, it needs to be transmitted wirelessly on the 5.9 GHz frequency in the USA; if not done properly
the amount of data could easily overload the finite mobile bandwidth
A key component of sharing the limited mobile bandwidth is the processing of data at the level of the vehicle via a fog computing approach
through an on-board vehicle processing unit.Fog computing has also been applied in manufacturing in the IIoT (Industrial Internet of Things)
This allows connected manufacturing devices with sensors and cameras to gather and process data locally, rather than send all of this data
Processing this data locally, in one wireless real world model allowed for a 98% reduction in packets of data transmitted, while maintaining
a 97% data accuracy, in a distributed data fog computing model
In addition, the energy savings are ideal for effective energy consumption, a crucial feature in the setting of battery powered
devices.While fog computing is a more recent development in the paradigm of cloud computing, it has significant momentum, and is well
Highlighting this trend is the Fog World Congress that highlights this growing technology.fdWVs5g45WfoCmMZxDda4J.jpg#
