What is Edge Computing?

By 2027, the global edge computing market is estimated to acquire a revenue of
$43.4 billion with a substantial growth rate of 37.4%. Hence, this shows the rising
demand and adaptation of this modern technology.
Edge computing is a modern-day technology that works upon distributed information
technology architecture. In this technology, the data is processed as close as
possible to its source.
Data is the powerhouse of all businesses to give them real-time control and business
insight for carrying out efficient operations. Let’s look at how edge computing will
help industry professionals acquire crucial data.


Functions of Edge Computing

Information technology (IT) landscape brings in many new possibilities and
perspectives over the course of time. With its use, the business applications will
eventually come closer to edge servers and IoT devices for collecting data.
The data proximity at the origin will help businesses get faster insights and optimal
responses. The bandwidth availability will be higher for businesses to create and
process the enterprise data.
This technology brings together the servers and storage where crucial data lies. It is
more like decentralizing the core processing potential of all networks. As a result, the
data won’t have to travel across all of the storage networks, which reduces backhaul
traffic. Hence, data processing is paced up!
To help you better understand this technology, here are a few evident functions of
edge computing:
● Data Privacy- Businesses that deal with high data volumes are prone to
cyber attacks. Edge Computing helps address most of their data security
concerns by achieving low latency and higher data bandwidth.
● AR Capabilities- Data is mostly stored over the cloud to make it accessible
for VR and AR devices. But, with usual measures, the data retrieval might get
interrupted, and the experience will get hampered. Hence, this concern is
addressed by edge computing.
● IoT Edge Computing- Edge computing allows businesses to easily gather
data from IoT devices and process it at the edge. With this, there is no need
to send the data back to the cloud or its data center for processing, as it can
be done at the source itself.
● Data Sovereignty- Edge computing allows businesses to prevail over the
data sovereignty laws upon its storage, processing, and exposure. Hence, this
allows the raw data to get locally processed and secure the sensitive data
before sending it to the data center or cloud.

Working Process of Edge Computing

Edge computing relies upon computing devices, sensors, and machinery for
collecting and feeding data to the cloud or edge servers.
Depending upon the task, the data will then be fed to the machine learning or
analytic system. Hence, this will help businesses deliver automation capabilities.
With edge computing, there will be better visibility into the current state of the
particular product, system, or device.

Edge data centers work on processing the data, but it is not the only way. The IoT
devices are also capable of processing the data and sending it to mobile phones,
storage devices, or edge servers for handling the calculations.
There are various technologies that collectively work to form an edge network. And
that includes mobile edge computing, fog computing, and cloud computing. The
sensors and the IoT-edge devices track the traffic patterns and offer real-time
insights into routing and congestion.

Benefits of Edge Computing

Various industries are adopting edge computing technology to fruitfully utilize the
data for better business opportunities.To help you get a better insight into the
potential of edge computing, here are a few benefits of it:

  1. Edge computing has the potential to deliver faster response times.
  2. It offers better bandwidth to avoid unnecessary processing aspects.
  3. Data management is improved when gathered over the network edge.
  4. The distributed nature of edge computing networks is what makes data highly
    secure from being exploited.

Industries Where Edge Computing is Used

The industries where edge computing solutions are highly preferred and utilized
● Autonomous and electric vehicles
● Vehicle charging stations
● Retail applications
● Industrial process monitoring
● Predictive maintenance sector
● Agriculture sector
● Security and worker safety sector
● Traffic management system
● Public transport system

Parting Words

Earlier in 2018, the enterprise data was less important and was not leveraged to the
maximum potential. But in the past couple of years, the demand for it has increased.
To make edge computing successful, one needs to choose durable devices that can
reliably function for a longer time, even in harsh environments. Moreover,
assembling the software and hardware is essential to get started with this solution.
Get complete knowledge of edge computing technology before you can successfully
start with it.

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