The Cloudcast

The Complexities of Edge Computing


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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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