NEW YORK, Sept. 2, 2020 /PRNewswire/ -- The term 'Edge
Computing' refers to computing that pushes intelligence, data
processing, analytics, and communication capabilities down to where
the data originates, that is, at network gateways or directly at
endpoints. The aim is to reduce latency, ensure highly efficient
networks and operations, as well as service delivery and an
improved user experience.
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By extending computing closer to the data source, edge computing
enables latency-sensitive computing, offers greater business
agility through better control and faster insights, lowers
operating expenses, and results in more efficient network bandwidth
support.Key characteristics of edge computing include:
• Computing power in the network or 'on-premises'
• Proximity
• Real-time data processing
• Wide geo-distributionThere have been 3 major computing
revolutions in industrial applications—mainframe, client server,
and cloud computing.
Taking up where these paradigms left off, edge computing is
establishing itself as a foundational technology for industrial
enterprises with its shorter latencies, robust security, responsive
data collection, and lower costs. It is extremely relevant in the
current hyper-connected industrial environment, as its
solution-agnostic nature enables its use across a range of
applications, including autonomous assets, remote asset monitoring,
data extraction from stranded assets, autonomous robotics,
autonomous vehicles, smart factories, oilfield operations
management, machine monitoring and smart campuses. The multi-access
edge computing (MEC) market is still at nascent stage, with telecom
operators and cloud providers conducting trials and, in certain
cases, agreements to launch commercial offerings. The recent launch
of 5G technology with much lower latency and higher capacity,
coupled with MEC, brings computing power closer to customers,
driving new applications and experiences. Operators are now
deploying smaller data centers in the network edge, closer to
customers, optimizing applications performance. However, telecom
operators cannot implement and manage MEC alone. They must
establish partnerships and an application ecosystem to seize this
growth opportunity. Thus, operators are partnering with cloud
providers such as Amazon Web Services (AWS), Microsoft Azure,
Google Cloud, and IBM Cloud to improve the performance of existing
mission-critical applications, and enable new applications over
wireless networks.This market influences growth opportunities in a
variety of areas, for both consumer and enterprise use cases, where
the low-latency requirements for connectivity are essential for
applications and user experience. For consumers, there are
innovative applications such as 5G gaming and augmented reality
(AR), virtual reality (VR), and ultra-high-definition (UDH)
streaming. For enterprises, telecom operators are deploying private
wireless networks to enable Manufacturing 4.0, automated mining,
precision agriculture, Industrial Internet of Things (IIoT), and
other compelling use cases. The analyst anticipates that
approximately 90% of industrial enterprises will utilize edge
computing by 2022, and a majority of the data will be processed in
the edge even before 5G coverage reaches higher levels and use
cases mature. The geographic coverage of this MEC study is global,
and the study period is from 2019 to 2024.
Author: Renato Pasquini
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