Edge computing is a distributed computing model that processes data near where it is collected, such as by sensors, rather than on centralized servers. This involves edge servers that securely process real-time data on-site while connecting other devices to the network. IoT edge computing uses data processing at the network's edge to speed up IoT systems by processing raw data at close edge servers instead of sending it to remote servers, providing benefits like faster services, smoother experiences, and real-time on-site analytics while reducing traffic and costs.

1. K. S. Rangasamy College of Technology
Team Members
Rishiprasath &
P R Pravin

3. 1.Edge computing
2.IOT edge
3.Advantages and disadvantages
4.Application
PRESENTATION OUTLINE

4. Edge computing is a distributed computing model
in which computing takes place near the physical
location
where data is being collected and analyzed, rather
than on a centralized server or in the cloud.
This new infrastructure involves sensors to collect
data and edge servers to securely process data in
real-time on site, while also connecting other
devices, like laptops and smartphones, to the
network.
Edge Computing

6. IoT edge computing is the practice of using data processing at the
network's edge to speed up the performance of an IoT system.
Instead of sending data to a remote server,edge computingenables
a smart device to process raw IoT data at a close-byedge server.
Moving data processing physically closer to IoT devices offers a line of
benefits to enterprise IT, such as:
IOT EDGE COMPUTING.
•Faster, more reliable services.
•A smoother customer experience.
•Real-time, on-site analytics.
•The ability to filter and aggregate raw data to reduce traffic sent to an
external server or thecloud.
•Loweroperational costs (OpEx)due to lessbandwidthusage and
smallerdata centercapacity needs.

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