VideoStreamingJob
Params
name
A human readable description of the object.
service
An instance of VideoStreaming.
resolution
description to be done
video_duration
video streaming job video duration from hypothesis in minute.
refresh_rate
video streaming job frames per second from hypothesis in 1 / second.
data_stored
data stored by request video streaming job from hypothesis in megabyte.
Backwards links
Calculated attributes
request_duration
ExplainableQuantity in minute, representing the video streaming job request duration.
Example value: 20 minute
Depends directly on:
through the following calculations:
You can also visit the link to Video streaming job request duration’s full calculation graph.
dynamic_bitrate
ExplainableQuantity in megabyte / second, representing the video streaming job dynamic bitrate.
Example value: 0.78 megabyte / second
Depends directly on:
- Video streaming job resolution from hypothesis
- Video streaming service bits per pixel from hypothesis
- Video streaming job frames per second from hypothesis
through the following calculations:
You can also visit the link to Video streaming job dynamic bitrate’s full calculation graph.
data_transferred
ExplainableQuantity in gigabyte, representing the video streaming job data transferred.
Example value: 0.93 gigabyte
Depends directly on:
through the following calculations:
You can also visit the link to Video streaming job data transferred’s full calculation graph.
compute_needed
ExplainableQuantity in cpu_core, representing the video streaming job cpu needed.
Example value: 0.0 cpu_core
Depends directly on:
- Video streaming service CPU cost per static stream from hypothesis
- Video streaming job dynamic bitrate
through the following calculations:
You can also visit the link to Video streaming job CPU needed’s full calculation graph.
ram_needed
ExplainableQuantity in megabyte, representing the video streaming job ram needed.
Example value: 50 megabyte
Depends directly on:
through the following calculations:
You can also visit the link to Video streaming job RAM needed’s full calculation graph.
hourly_occurrences_per_usage_pattern
Dictionary with UsagePattern as keys and hourly video streaming job occurrences in usage pattern as values, in dimensionless.
Example value: {
id-a989b5-usage-pattern: 26299 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in dimensionless:
first 10 vals [4, 3, 4, 4, 6, 6, 2, 2, 1, 2],
last 10 vals [2, 6, 3, 3, 8, 1, 8, 5, 4, 5],
}
Depends directly on:
through the following calculations:
You can also visit the link to Hourly Video streaming job occurrences in usage pattern’s full calculation graph.
hourly_avg_occurrences_per_usage_pattern
Dictionary with UsagePattern as keys and average hourly video streaming job occurrences in usage pattern as values, in dimensionless.
Example value: {
id-a989b5-usage-pattern: 26299 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in dimensionless:
first 10 vals [1.33, 1.0, 1.33, 1.33, 2.0, 2.0, 0.67, 0.67, 0.33, 0.67],
last 10 vals [0.67, 2.0, 1.0, 1.0, 2.67, 0.33, 2.67, 1.67, 1.33, 1.67],
}
Depends directly on:
through the following calculations:
You can also visit the link to Average hourly Video streaming 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 video streaming job in usage pattern as values, in gigabyte.
Example value: {
id-a989b5-usage-pattern: 26299 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in GB:
first 10 vals [3.73, 2.8, 3.73, 3.73, 5.6, 5.6, 1.87, 1.87, 0.93, 1.87],
last 10 vals [1.87, 5.6, 2.8, 2.8, 7.46, 0.93, 7.46, 4.67, 3.73, 4.67],
}
Depends directly on:
through the following calculations:
You can also visit the link to Hourly data transferred for Video streaming job in usage pattern’s full calculation graph.
hourly_data_stored_per_usage_pattern
Dictionary with UsagePattern as keys and hourly data stored for video streaming job in usage pattern as values, in megabyte.
Example value: {
id-a989b5-usage-pattern: 26299 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in MB:
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 Video streaming job occurrences in usage pattern
- Data stored by request Video streaming job from hypothesis
through the following calculations:
You can also visit the link to Hourly data stored for Video streaming job in usage pattern’s full calculation graph.
hourly_occurrences_across_usage_patterns
hourly video streaming job occurrences across usage patterns in dimensionless.
Example value: 26299 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in dimensionless:
first 10 vals [4, 3, 4, 4, 6, 6, 2, 2, 1, 2],
last 10 vals [2, 6, 3, 3, 8, 1, 8, 5, 4, 5]
Depends directly on:
through the following calculations:
You can also visit the link to Hourly Video streaming job occurrences across usage patterns’s full calculation graph.
hourly_avg_occurrences_across_usage_patterns
hourly video streaming job average occurrences across usage patterns in dimensionless.
Example value: 26299 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in dimensionless:
first 10 vals [1.33, 1.0, 1.33, 1.33, 2.0, 2.0, 0.67, 0.67, 0.33, 0.67],
last 10 vals [0.67, 2.0, 1.0, 1.0, 2.67, 0.33, 2.67, 1.67, 1.33, 1.67]
Depends directly on:
through the following calculations:
You can also visit the link to Hourly Video streaming job average occurrences across usage patterns’s full calculation graph.
hourly_data_transferred_across_usage_patterns
hourly video streaming job data transferred across usage patterns in gigabyte.
Example value: 26299 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in GB:
first 10 vals [3.73, 2.8, 3.73, 3.73, 5.6, 5.6, 1.87, 1.87, 0.93, 1.87],
last 10 vals [1.87, 5.6, 2.8, 2.8, 7.46, 0.93, 7.46, 4.67, 3.73, 4.67]
Depends directly on:
through the following calculations:
You can also visit the link to Hourly Video streaming job data transferred across usage patterns’s full calculation graph.
hourly_data_stored_across_usage_patterns
hourly video streaming job data stored across usage patterns in megabyte.
Example value: 26299 values from 2024-12-31 23:00:00+00:00 to 2028-01-01 17:00:00+00:00 in MB:
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:
through the following calculations:
You can also visit the link to Hourly Video streaming job data stored across usage patterns’s full calculation graph.