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What is fog computing

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WHAT IS FOG COMPUTING?
Fog computing is the concept of a network fabric that stretches from the outer
edges of where data is created to where it will eventually be stored, whether that's
in the cloud or in a customer’s data center.
Fog is another layer of a distributed network environment and is closely associated
with cloud computing and the internet of things (IoT). Public infrastructure as a
service (IaaS) cloud vendors can be thought of as a high-level, global endpoint for
data; the edge of the network is where data from IoT devices is created.
BENEFITS OF FOG COMPUTING
Fundamentally, the development of fog computing frameworks gives organizations
more choices for processing data wherever it is most appropriate to do so. For
some applications, data may need to be processed as quickly as possible for
example, in a manufacturing use case where connected machines need to be able to
respond to an incident as soon as possible.
Fog computing can create low-latency network connections between devices and
analytics endpoints. This architecture in turn reduces the amount of bandwidth
needed compared to if that data had to be sent all the way back to a data center or
cloud for processing. It can also be used in scenarios where there is no bandwidth
connection to send data, so it must be processed close to where it is created. As an

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added benefit, users can place security features in a fog network, from segmented
network traffic to virtual firewalls to protect it.
HOW DOES FOG COMPUTING WORKS
A fog computing fabric can have a variety of components and functions. It could
include fog computing gateways that accept data IoT devices have collected. It
could include a variety of wired and wireless granular collection endpoints,
including ruggedized routers and switching equipment. Other aspects could include
customer premise equipment (CPE) and gateways to access edge nodes. Higher up
the stack fog computing architectures would also touch core networks and routers
and eventually global cloud services and servers.
The OpenFog Consortium, the group developing reference architectures, has
outlined three goals for developing a fog framework. Fog environments should be
horizontally scalable, meaning it will support multiple industry vertical use cases;
be able to work across the cloud to things continuum; and be a system-level
technology, that extends from things, over network edges, through to the cloud and
across various network protocols. (See video below for more on fog computing
from the OpenFog Consortium.)

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WHAT IS FOG COMPUTING? Fog computing is the concept of a network fabric that stretches from the outer edges of where data is created to where it will eventually be stored, whether that's in the cloud or in a customer’s data center. Fog is another layer of a distributed network environment and is closely associated with cloud computing and the internet of things (IoT). Public infrastructure as a service (IaaS) cloud vendors can be thought of as a high-level, global endpoint for data; the edge of the network is where data from IoT devices is created. BENEFITS OF FOG COMPUTING Fundamentally, the development of fog computing frameworks gives organizations more choices for processing data wherever it is most appropriate to do so. For some applications, data may need to be processed as quickly as possible – for example, in a manufacturing use case where connected machines need to be able to respond to an incident as soon as possible. Fog computing can create low-latency network connections between devices and analytics endpoints. This architecture in turn reduces the amount of bandwidth needed compared to if that data had to be sent all the way back to a data center or cloud for pro ...
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