EdgeUsagePattern
Params
name
A human readable description of the object.
edge_usage_journey
An instance of EdgeUsageJourney.
network
An instance of Network.
country
An instance of Country.
hourly_edge_usage_journey_starts
Default edge usage pattern hourly nb of edge device starts, in hourly timeseries data.
Backwards links
Calculated attributes
utc_hourly_edge_usage_journey_starts
Default edge usage pattern utc in occurrence.
Example value: 52597 values from 2024-12-31 23:00:00+00:00 to 2031-01-01 12:00:00+00:00 in :
first 10 vals [0, 0, 0, 0, 0, 0, 0, 0, 1000, 1000],
last 10 vals [0, 0, 0, 0, 0, 1000, 1000, 1000, 1000, 1000]
Depends directly on:
- Default edge usage pattern hourly nb of edge device starts from e-footprint hypothesis
- devices country timezone from user data
through the following calculations:
You can also visit the link to Default edge usage pattern UTC’s full calculation graph.
fabrication_impact_repartition_weights
Dictionary with Country as keys and Impact repartition weight as values, in dimensionless.
Example value: {
Country devices country (1e1f99): 1 ,
}
Depends directly on:
through the following calculations:
You can also visit the link to Impact repartition weight’s full calculation graph.
fabrication_impact_repartition_weight_sum
ExplainableQuantity in dimensionless, representing the Sum of default edge usage pattern fabrication impact repartition weights.
Example value: 1
Depends directly on:
through the following calculations:
You can also visit the link to Sum of Default edge usage pattern fabrication impact repartition weights’s full calculation graph.
fabrication_impact_repartition
Dictionary with Country as keys and Default edge usage pattern fabrication impact attribution to devices country as values, in concurrent.
Example value: {
Country devices country (1e1f99): 1 ,
}
Depends directly on:
through the following calculations:
You can also visit the link to Default edge usage pattern fabrication impact attribution to devices country’s full calculation graph.
usage_impact_repartition_weights
Dictionary with Country as keys and Impact repartition weight as values, in dimensionless.
Example value: {
Country devices country (1e1f99): 1 ,
}
Depends directly on:
through the following calculations:
You can also visit the link to Impact repartition weight’s full calculation graph.
usage_impact_repartition_weight_sum
ExplainableQuantity in dimensionless, representing the Sum of default edge usage pattern usage impact repartition weights.
Example value: 1
Depends directly on:
through the following calculations:
You can also visit the link to Sum of Default edge usage pattern usage impact repartition weights’s full calculation graph.
usage_impact_repartition
Dictionary with Country as keys and Default edge usage pattern usage impact attribution to devices country as values, in concurrent.
Example value: {
Country devices country (1e1f99): 1 ,
}
Depends directly on:
through the following calculations:
You can also visit the link to Default edge usage pattern usage impact attribution to devices country’s full calculation graph.