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Iot Gateway Fog Comuting


Distributed edge analytics with IoT gateway enables effective, reliable and faster data and information processing when combined with fog computing. Read on to find out how. – PowerPoint PPT presentation

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Title: Iot Gateway Fog Comuting

eInfochips Presents
IoT Gateways Drivers for Fog Computing
Connected devices are becoming essential
components for enterprises as they can drive
significant connectivity and integration between
systems and data. The increasing number of
devices getting connected to each other generates
a huge amount of data. However, when it comes to
leveraging the full potential of these connected
devices and data, it is necessary to have a
scalable and robust environment which allows
faster processing of data between systems. The
fundamental concern is how to efficiently manage
this data, as any data loss or delay in
processing of data from a connected ecosystem can
cause critical damage to an enterprises
workflow. Role of IoT Gateway Edge Analytics in
Data Processing Management IoT Gateway is the
key to any IoT deployment. It is a bridge between
IoT devices and cloud that enables remote control
of the devices and machines. The increasing
number of devices propels the requirement for IoT
gateways to solve the data management issues with
Edge Analytics. Edge analytics with IoT
Gateway allows data processing before it is
transmitted to the cloud. The gateway collects
all the data from the connected devices and
executes necessary algorithms or rule engine on
it and sends actionable commands to connected
devices. The actions allow for response to be
taken in real-time and also help in self-healing
mechanism during faults/errors.
How Distributed Edge Analytics Works in Larger
Geographical Areas Lets take an example of smart
grids to understand the concept in detail. Smart
grids are the combinations of smart meters, smart
appliances, renewable energy resources, energy
efficient resources, and substations. In a
particular city area, the number of smart meters
is equivalent to the number of households in that
area. These AMI (Advanced Metering
Infrastructure) continuously collects the energy
consumption data and route it to the IoT
gateways. The gateway enables edge analytics and
then the processed data is rerouted to the cloud
by the gateway. As the number of AMI is high in a
particular area, the number of gateways will be
proportionately higher.
IoT Gateways Drivers for Fog Computing Read
Complete Blog _at_ https//
About eInfochips
eInfochips is a product engineering and software
RD services company with over 20 years of
experience, 500 product developments, and over
40M deployments in 140 countries. Today, 60 of
our revenues come from Fortune 500 companies and
80 from solutions around connected devices. From
silicon to embedded systems to software, we map
the journey of our customers from design
development to deployment sustenance. We have
the expertise and experience to deliver complex,
critical, and connected products across multiple
domains, for projects as small as a one-time app
development to a complete turnkey product design.
We continuously invest and fuel innovations in
the areas of Product Engineering, Device
Lifecycle Management, IoT Cloud Frameworks,
Intelligent Automation, and Video Management.
Contact Us
eInfochips 2025 Gateway Place, Suite 270, San
Jose, CA 95110. 1-408-496-1882 Email marketing_at_e   eInfochips Blogs