Archetypes Across the Framework
The term “edge infrastructure” refers to the physical compute infrastructure (servers, power, cooling, enclosures) that is deliberately positioned anywhere between the end-device and central data centers. This also includes hosting compute capabilities on premise, something that is obviously not new for many enterprises.
In fact, some are re-investing in existing on-site infrastructure (e.g., servers, network closets, or data centers) to optimize applications and implement new use cases. For example, a multinational pulp and paper manufacturer is enabling data intensive applications such as advanced predictive maintenance by leveraging data centers at its larger mills.
Life
Critical
M2M Latency
Sensitive
Human-Latency
Sensitive
Data Intensive
EDGE ARCHETYPE
Regional Edge
Data Center
Distributed Edge
Data Center
Micro Edge
Device Edge
EDGE INFRASTRUCTURE MODEL
e.g. Connected traffic
infrastructure
e.g. AR/VR,
Natural language processing
e.g. HD Content
Distribution
e.g. Real-time inventory management
e.g. Web/App
optimization
e.g.
Connected cars,
Smart drones
e.g. Smart
traffic lights
e.g. AR/VR
Infrastructure model that we see being most deployed going forward
Infrastructure model that is typically deployed today
Key:
Life
Critical
M2M Latency
Sensitive
Human-Latency
Sensitive
Data Intensive
Regional Edge
Data Center
Distributed Edge
Data Center
Micro Edge
Device Edge
EDGE INFRASTRUCTURE MODEL
e.g. HD Content
Distribution
e.g. Real-time inventory management
EDGE ARCHETYPE
Data Intensive
Human-Latency
Sensitive
e.g. Web/App
optimization
e.g. AR/VR,
Natural language processing
e.g. AR/VR
e.g.
Connected traffic
infrastructure
e.g. Smart
traffic lights
M2M Latency
Sensitive
Life
Critical
e.g.
Connected cars,
Smart drones
e.g. HD Content
Distribution
e.g. Real-time inventory management
Data Intensive