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RecurrentEdgeProcess

Params

name

A human readable description of the object.

edge_device

An instance of EdgeComputer.

recurrent_compute_needed

Recurrent compute needed for edge process, in typical week of hourly timeseries data, starting on Monday at midnight.

For example, 168 values in cpu core: first 10 vals [1, 1, 1, 1, 1, 1, 1, 1, 1, 1], last 10 vals [1, 1, 1, 1, 1, 1, 1, 1, 1, 1]

recurrent_ram_needed

Recurrent ram needed for edge process, in typical week of hourly timeseries data, starting on Monday at midnight.

For example, 168 values in GB ram: first 10 vals [2, 2, 2, 2, 2, 2, 2, 2, 2, 2], last 10 vals [2, 2, 2, 2, 2, 2, 2, 2, 2, 2]

recurrent_storage_needed

Recurrent storage needed for edge process, in typical week of hourly timeseries data, starting on Monday at midnight.

For example, 168 values in kB stored: first 10 vals [200, 200, 200, 200, 200, 200, 200, 200, 200, 200], last 10 vals [200, 200, 200, 200, 200, 200, 200, 200, 200, 200]

Calculated attributes

fabrication_impact_repartition_weights

Dictionary with EdgeFunction as keys and Edge function weight in edge process impact repartition as values, in concurrent.

Example value: {
EdgeFunction edge function (ca3d1c): 105192 values from 2025-01-01 00:00:00+00:00 to 2037-01-01 00:00:00+00:00 in M:
first 10 vals [0, 0, 0, 0, 0, 0, 0, 0.000999, 0.002, 0.003],
last 10 vals [0.005, 0.005, 0.005, 0.005, 0.005, 0.004, 0.003, 0.002, 0.000997, 0],
}

Depends directly on:

through the following calculations:

You can also visit the link to edge function weight in edge process impact repartition’s full calculation graph.

fabrication_impact_repartition_weight_sum

Sum of edge process fabrication impact repartition weights in concurrent.

Example value: 105192 values from 2025-01-01 00:00:00+00:00 to 2037-01-01 00:00:00+00:00 in M:
first 10 vals [0, 0, 0, 0, 0, 0, 0, 0.000999, 0.002, 0.003],
last 10 vals [0.005, 0.005, 0.005, 0.005, 0.005, 0.004, 0.003, 0.002, 0.000997, 0]

Depends directly on:

through the following calculations:

You can also visit the link to Sum of edge process fabrication impact repartition weights’s full calculation graph.

fabrication_impact_repartition

Dictionary with EdgeFunction as keys and Edge process fabrication impact attribution to edge function as values, in concurrent.

Example value: {
EdgeFunction edge function (ca3d1c): 105192 values from 2025-01-01 00:00:00+00:00 to 2037-01-01 00:00:00+00:00 in :
first 10 vals [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
last 10 vals [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
}

Depends directly on:

through the following calculations:

You can also visit the link to edge process fabrication impact attribution to edge function’s full calculation graph.

usage_impact_repartition_weights

Dictionary with EdgeFunction as keys and Edge function weight in edge process impact repartition as values, in concurrent * gram / kilowatt_hour.

Example value: {
EdgeFunction edge function (ca3d1c): 105192 values from 2025-01-01 00:00:00+00:00 to 2037-01-01 00:00:00+00:00 in ·g/kWh:
first 10 vals [0, 0, 0, 0, 0, 0, 0, 84900, 170000, 255000],
last 10 vals [425000, 425000, 425000, 425000, 425000, 340000, 255000, 170000, 84700, 0],
}

Depends directly on:

through the following calculations:

You can also visit the link to edge function weight in edge process impact repartition’s full calculation graph.

usage_impact_repartition_weight_sum

Sum of edge process usage impact repartition weights in concurrent * gram / kilowatt_hour.

Example value: 105192 values from 2025-01-01 00:00:00+00:00 to 2037-01-01 00:00:00+00:00 in ·g/kWh:
first 10 vals [0, 0, 0, 0, 0, 0, 0, 84900, 170000, 255000],
last 10 vals [425000, 425000, 425000, 425000, 425000, 340000, 255000, 170000, 84700, 0]

Depends directly on:

through the following calculations:

You can also visit the link to Sum of edge process usage impact repartition weights’s full calculation graph.

usage_impact_repartition

Dictionary with EdgeFunction as keys and Edge process usage impact attribution to edge function as values, in concurrent.

Example value: {
EdgeFunction edge function (ca3d1c): 105192 values from 2025-01-01 00:00:00+00:00 to 2037-01-01 00:00:00+00:00 in :
first 10 vals [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
last 10 vals [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
}

Depends directly on:

through the following calculations:

You can also visit the link to edge process usage impact attribution to edge function’s full calculation graph.