Edge processing

Process locally. Transfer what the task needs.

Local processing can reduce unnecessary transfer and keep an operator working through interruptions. Its benefit must be measured for the actual workload.

Follow the practical example
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Keep the useful result close

An inspection workflow may capture a large source file but need only a small structured finding for coordination. Preserve the source locally when required and transfer the selected result with its evidence reference. Whether this is appropriate depends on the receiving task.

Measure the trade-off

Compare input size, output size, local processing time and energy use. Smaller network payloads can require more local computation. Report both sides; bandwidth savings alone do not establish lower total cost or faster decisions.

Design for constrained operation

Set storage limits and decide what happens when they are reached. Define interruption recovery and protect partially written records. A field-ready package must state its supported device, expected power envelope and tested offline duration.

A practical example

Use the payload calculator below with your own byte sizes. It measures transfer reduction only; it does not estimate intelligence, CPU performance or network latency.

This explanation identifies the workflow and its boundaries; it does not claim a live operation.

How much data would you transfer?

Enter your own payload sizes in megabytes (MB). Both fields use the same unit.

Enter both sizes to calculate the difference.

Sources and optional further reading

KEDDEH WEB4 implementation and recovery runbook — source for the host integration described in this library, not certification of every industry application.

Related topic: Mission technologies. This is optional background, not a required next step.