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docs/design/part-qos.txt: First QoS ideas.
Original commit message from CVS: * docs/design/part-qos.txt: First QoS ideas.
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2006-03-27 Wim Taymans <wim@fluendo.com>
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* docs/design/part-qos.txt:
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First QoS ideas.
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2006-03-27 Wim Taymans <wim@fluendo.com>
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Inspired by a patch of: Lutz Mueller <lutz at topfrose dot de>
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165
docs/design/part-qos.txt
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165
docs/design/part-qos.txt
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Quality-of-Service
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------------------
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Quality of service is about measuring and adjusting the real-time
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performance of a pipeline.
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The real-time performance is always measured relative to the pipeline
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clock and typically happens in the sinks when they synchronize buffers
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against the clock.
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The measurements result in QOS events that aim to adjust the datarate
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in one or more upstream elements. Two types of adjustements can be
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made:
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- short time "emergency" corrections based on latest observation
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in the sinks.
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- long term rate corrections based on trends observed in the sinks.
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QoS event
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---------
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The QoS event travels upstream and contains the following fields:
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- timestamp: The timestamp on the buffer that generated the QoS
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event
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- jitter: The difference of that timestamp against the clock.
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- proportion: Long term prediction of the ideal rate relative to
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normal rate to get optimal quality.
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The rest of this document deals with how these values can be calculated
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in a sink.
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Collecting statistics
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---------------------
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A buffer with timestamp B1 arrives in the sink at time T1. The buffer
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timestamp is then synchronized against the clock which yields a jitter J1
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return value from the clock.
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If the jitter is positive, the entry arrived in time and can be rendered.
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If the jitter is negative however, the entry arrived too late in the sink
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and should therefore be dropped. A dropped buffer should generate a QoS
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event upstream.
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Using the jitter we can calculate the time when the buffer arrived in the
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sink:
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T1 = B1 - J1. (1)
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The time the buffer leaves the sink after synchronisation is measured as:
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T2 = B1 - (J1 < 0 : J1 : 0) (2)
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For buffers that arrive in time (J1 >= 0) the buffer leaves after synchronisation
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which is exactly B1. Late buffers (J1 < 0) leave the sink when they arrive,
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whithout any synchronisation, which is T1 = B1 - J1.
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Using a previous T0 and a new T1, we can calculate the time it took for
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upstream to generate a buffer with timestamp B1.
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PT1 = T0 - T1 (3)
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We call PT1 the processing time needed to generate buffer with timestamp B1.
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Moreover, given the duration of the buffer D1, the current data rate (DR1) of
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the upstream element is given as:
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PT1 T1 - T0
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DR1 = --- = ------- (4)
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D1 D1
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For values 0.0 < DR1 <= 1.0 the upstream element is producing faster than
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real-time. If DR1 is exactly 1.0, the element is running at a perfect speed.
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Values DR1 > 1.0 means that the upstream element cannot produce buffers of
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duration D1 in real-time. It is exactly DR1 that tells the amount of speedup
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we require from upstream to regain real-time performance.
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Short term correction
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---------------------
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The timestamp and jitter serve as short term correction information
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for upstream elements. Indeed, given arrival time T1 as given in (1)
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we can be certain that buffers with a timestamp B2 < T1 will be too late
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in the sink.
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In case of a negative jitter we can therefore send a QoS message with
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a timestamp B1, jitter J1 and proportion given by (4).
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This allows an upstream element to not generate any data with a timestamps
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B2 < T1, where the element can derive T1 as B1 - J1.
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This will effectively result in frame drops.
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The element can even do a better estimation of the next valid timestamp it
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should output.
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Indeed, given the element generate a buffer with timestamp B1 that arrived
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in time in the sink but then received a QoS message stating B2 arrived J2
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too late. This means generating B2 took (B2 - J2) - B1 = T1 - T0 = PT1, as
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given in (3). Given the buffer B2 had a duration D2 and assuming that
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generating a new buffer B3 will take the same amount of processing time,
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a better estimation for B3 would then be:
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B3 = T1 + D3 * DR2
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expanding gives:
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B3 = (B2 - J2) + D3 * (B2 - J2 - B1)
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--------------
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D2
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assuming the durations of the frames are equal and thus D2 = D3:
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B3 = (B2 - J2) + (B2 - J2 - B1)
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B3 = 2 * (B2 - J2) - B1
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also:
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B1 = B2 - D2
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so:
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B3 = 2 * (B2 - J2) - (B2 - D2)
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Which yields a more accurate prediction for the next buffer given as:
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B3 = B2 - 2 * J2 + D2 (5)
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Long term correction
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--------------------
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The datarate used to calculate (5) for the short term prediction is based
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on a single observation. A more accurate datarate can be obtained by
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creating a running average over multiple datarate observations.
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This average is less susceptible to sudden changes that would only influence
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the datarate for a very short period.
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A running average is calculated over the observations given in (4) and is
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used as the proportion member in the QoS message that is sent upstream.
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Receivers of the QoS message should permanently reduce their datarate
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as given by the proportion member. Failure to do so will certainly lead to
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dropped frames and worse a QoS.
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QoS strategies
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--------------
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- lowering quality
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- dropping frames
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- switch to a lower decoding/encoding quality
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- switch to a lower quality source
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QoS implementations
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-------------------
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