It’s smaller computers, doing limited tasks. So why is Edge Computing so complicated, and why are there so many definitions?

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SHOW NOTES:

Edge Computing
Internet of Things (IoT)
Industrial IoT
Digital Twins
Digital Twins and IoT
LF Edge, State of Edge 2021 Report ($800B by 2028)

THE COMPLEXITIES OF EDGE COMPUTING

No single definition of edge, because of so many use-cases

Branch office
Near-Edge
Far-Edge
Disconnected

Hardware can dictate quite a bit about edge characteristics

Custom-OS or COTS OS
General purpose HW or Specialized HW (GPU, NVMe, DPUs)
#of computing devices; volume of local storage

Networking can dictate quite a bit about edge characteristics

Are the devices always connected to the Internet?
How are disconnected environments handled?
How much bandwidth is available? Is it symmetric or asymmetric?
What are the traffic patterns of the applications? Local vs. Backhaul.

Security can dictate quite a bit about edge characteristics

How does Security happen on Day 0?
What are the security vs. usability tradeoffs? (direct user interaction)
How is security maintained? (CVE, Local Security services, etc.)

Maintenance can dictate quite a bit about edge characteristics

How much does it cost to deploy new edges?
How often are the edges expected to be upgraded?
How will maintenance happen? (Local tech, remote download, etc.)
How sophisticated is the Day 2 Ops? (Telemetry, Environmentals, Benchmarks, etc.)

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The Complexities of Edge Computing

The Enterprise AI Show

The Complexities of Edge Computing