Are you at, or near the Edge?!
Well, it
depends!
Edge computing
has recently been taking the market by storm.
Fueled by the need for low-latency, today edge computing,
including Mobile Edge Computing (MEC) technology, is expected to be widely used
for services that require ultra-low latency such as AR/VR services, cloud
gaming services, autonomous driving & fleet management, real-time live
broadcasting.
In addition, the need for data confidentiality and
compliance is driving the use of edge computing in legacy segments, such as industrial
automation and oil and gas installations.
There is a strong historical basis for edge computing,
growing out of the efforts by global CDN's in the 1990s to distribute the
delivery of content to the network edge.
However, the recent widespread growth and adoption of cloud
native technologies is a primary enabler for a robust edge computing ecosystem.
For example, the open source software Cloud Native Computing Foundation, or CNCF,
uses an open source software stack to deploy applications as microservices,
packaging each part into its own container, and dynamically orchestrating those
containers to optimize resource utilization.
Edge computing
nodes are usually classified by their physical location in the network – they include:
1.
End
device, such as an IoT device, a smart phone, or even a Car
2.
Enterprise,
such as IoT gateway, Router or an SD-WAN device
3.
PoP (Point
of Presence) or first aggregation point, such as a carrier PoP, cell site, or cable
head-end
4.
Central
Office (CO) or small Data Center (DC)
5.
Public
cloud, such as AWS, Azure or Google Cloud
Edge computing can be scalable – for example, edge DC's can
be inter-connected to form Infrastructure Edge, with all managed as one entity.
As a result, each edge DC can be viewed as equivalent to a rack in a centralized
DC, or a Cloud.
Future blogs will examine the level of intelligence at each
edge computing node, and hence its autonomy as it applies to the Autonomous
EdgeTM.
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