Job

Params

name

A human readable description of the object.

server

An instance of Server.

data_transferred

sum of all data uploads and downloads for request manually defined job from hypothesis in kilobyte.

data_stored

data stored by request manually defined job from hypothesis in kilobyte.

request_duration

request duration of manually defined job from hypothesis in second.

compute_needed

cpu needed on server server to process manually defined job from hypothesis in cpu_core.

ram_needed

ram needed on server server to process manually defined job from hypothesis in megabyte.

Backwards links

• UsageJourneyStep

Calculated attributes

hourly_occurrences_per_usage_pattern

Dictionary with UsagePattern as keys and hourly manually defined job occurrences in usage pattern as values, in dimensionless.

Example value: {
id-2dd2c8-usage-pattern: 26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in dimensionless:
first 10 vals [9, 8, 6, 1, 5, 8, 7, 2, 7, 3],
last 10 vals [3, 6, 6, 3, 1, 6, 3, 2, 9, 1],
}

Depends directly on:

• usage pattern UTC

through the following calculations:

You can also visit the link to Hourly Manually defined job occurrences in usage pattern’s full calculation graph.

hourly_avg_occurrences_per_usage_pattern

Dictionary with UsagePattern as keys and average hourly manually defined job occurrences in usage pattern as values, in dimensionless.

Example value: {
id-2dd2c8-usage-pattern: 26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in dimensionless:
first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
last 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
}

Depends directly on:

• Hourly Manually defined job occurrences in usage pattern
• Request duration of Manually defined job from hypothesis

through the following calculations:

You can also visit the link to Average hourly Manually defined job occurrences in usage pattern’s full calculation graph.

hourly_data_transferred_per_usage_pattern

Dictionary with UsagePattern as keys and hourly data transferred for manually defined job in usage pattern as values, in kilobyte.

Example value: {
id-2dd2c8-usage-pattern: 26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in kB:
first 10 vals [1350.0, 1200.0, 900.0, 150.0, 750.0, 1200.0, 1050.0, 300.0, 1050.0, 450.0],
last 10 vals [450.0, 900.0, 900.0, 450.0, 150.0, 900.0, 450.0, 300.0, 1350.0, 150.0],
}

Depends directly on:

• Hourly Manually defined job occurrences in usage pattern
• Sum of all data uploads and downloads for request Manually defined job from hypothesis

through the following calculations:

You can also visit the link to Hourly data transferred for Manually defined job in usage pattern’s full calculation graph.

hourly_data_stored_per_usage_pattern

Dictionary with UsagePattern as keys and hourly data stored for manually defined job in usage pattern as values, in kilobyte.

Example value: {
id-2dd2c8-usage-pattern: 26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in kB:
first 10 vals [900.0, 800.0, 600.0, 100.0, 500.0, 800.0, 700.0, 200.0, 700.0, 300.0],
last 10 vals [300.0, 600.0, 600.0, 300.0, 100.0, 600.0, 300.0, 200.0, 900.0, 100.0],
}

Depends directly on:

• Hourly Manually defined job occurrences in usage pattern
• Data stored by request Manually defined job from hypothesis

through the following calculations:

You can also visit the link to Hourly data stored for Manually defined job in usage pattern’s full calculation graph.

hourly_occurrences_across_usage_patterns

hourly manually defined job occurrences across usage patterns in dimensionless.

Example value: 26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in dimensionless:
first 10 vals [9, 8, 6, 1, 5, 8, 7, 2, 7, 3],
last 10 vals [3, 6, 6, 3, 1, 6, 3, 2, 9, 1]

Depends directly on:

• Hourly Manually defined job occurrences in usage pattern

through the following calculations:

You can also visit the link to Hourly Manually defined job occurrences across usage patterns’s full calculation graph.

hourly_avg_occurrences_across_usage_patterns

hourly manually defined job average occurrences across usage patterns in dimensionless.

Example value: 26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in dimensionless:
first 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0],
last 10 vals [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]

Depends directly on:

• Average hourly Manually defined job occurrences in usage pattern

through the following calculations:

You can also visit the link to Hourly Manually defined job average occurrences across usage patterns’s full calculation graph.

hourly_data_transferred_across_usage_patterns

hourly manually defined job data transferred across usage patterns in kilobyte.

Example value: 26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in kB:
first 10 vals [1350.0, 1200.0, 900.0, 150.0, 750.0, 1200.0, 1050.0, 300.0, 1050.0, 450.0],
last 10 vals [450.0, 900.0, 900.0, 450.0, 150.0, 900.0, 450.0, 300.0, 1350.0, 150.0]

Depends directly on:

• Hourly data transferred for Manually defined job in usage pattern

through the following calculations:

You can also visit the link to Hourly Manually defined job data transferred across usage patterns’s full calculation graph.

hourly_data_stored_across_usage_patterns

hourly manually defined job data stored across usage patterns in kilobyte.

Example value: 26299 values from 2024-12-31 23:00:00 to 2028-01-01 17:00:00 in kB:
first 10 vals [900.0, 800.0, 600.0, 100.0, 500.0, 800.0, 700.0, 200.0, 700.0, 300.0],
last 10 vals [300.0, 600.0, 600.0, 300.0, 100.0, 600.0, 300.0, 200.0, 900.0, 100.0]

Depends directly on:

• Hourly data stored for Manually defined job in usage pattern

through the following calculations:

You can also visit the link to Hourly Manually defined job data stored across usage patterns’s full calculation graph.