* WIP commit
* Clean up
* spelling mistake
* Run subscribed track onBind in a go routine
* Address comments and more safety net
* Cache and restore forwarder state on resume
* conflicts
* mage generate
* Log reason for participant close
Please suggest better naming for different scenarios if something comes
to mind.
* group service requests
* incorporate feedback
* Change names in tests
* Reinstating a function used by cloud
* Use go map for `subscribedTo`.
Range over a sync.Map could produce unexpected results if
there are concurrent changes (change in value or delete).
While we do not change value (the value is a place holder in this map),
just moving to go map to avoid hard to find concurrency issues.
The lock scoping is well defined for the map. So, making the change
to be more defensive.
* Set DtxDisabled from TrackInfo in score calculation.
Also, fix sending connection quality upate on a new subscription.
* comments tweaks
* Move TrackInfo into StreamTrackerManager as this is used by cloud as well
* WIP commit
* WIP commit
* Remove debug
* Revert to reduce diff
* Fix tests
* Determine spatial layer from track info quality if non-simulcast
* Adjust for invalid layer on no rid, previously that function was returning 0 for no rid case
* Fall back to top level width/height if there are no layers
* Use duration from RTPDeltaInfo
Multiple parts of the system relies on a Track's ID (egress, telemetry, etc).
Track ID changes when a track was unpublished, then republished with the
exact same attributes. This PR would allow us to re-use a previously
unpublished Track ID
* Fixed unclean DownTrack close when removed before bound.
When a DownTrack is closed before it had a chance to be bound to a
transceiver, we'd skip close and leave it hanging. This is unlikely in
normal operations. However, it can be seen with permissions and
subscription APIs.
* remove remaining peerID references
* Use rtcscore-go to calculate audio/video score
Signed-off-by: shishir gowda <shishir@livekit.io>
* Get max expected layer and find max actual layer from stream
Signed-off-by: shishir gowda <shishir@livekit.io>
* Cleanup unused methods
Signed-off-by: shishir gowda <shishir@livekit.io>
* Cleanup code - address review comments
Signed-off-by: shishir gowda <shishir@livekit.io>
* get expected layer info instead of just quality
Signed-off-by: shishir gowda <shishir@livekit.io>
* Move SpatialLayerForQuality to utils/helpers
method is required in rtc,sfu and connectionstats pkg
Moved to utils/helpers.go to remove cyclic deps
Signed-off-by: shishir gowda <shishir@livekit.io>
* update tests
Signed-off-by: shishir gowda <shishir@livekit.io>
* Pick stream stats with max layer
Signed-off-by: shishir gowda <shishir@livekit.io>
* Update rtcscore-go pkg to make rtt/jitter optional
when passing 0, rtcscore-go was setting default values
Signed-off-by: shishir gowda <shishir@livekit.io>
* update score to rating
Signed-off-by: shishir gowda <shishir@livekit.io>
* Update rtcscore-go pkg to use simulcast layer info for score
Signed-off-by: shishir gowda <shishir@livekit.io>
* Update score ratings to reflect rtcscore range
Signed-off-by: shishir gowda <shishir@livekit.io>
* update test params for new rtcscore
Signed-off-by: shishir gowda <shishir@livekit.io>
* Delay sending scores to connections only till full data is available
first interval can have partial data leading to lower scores
Signed-off-by: shishir gowda <shishir@livekit.io>
* Check for inf values in quality params
Signed-off-by: shishir gowda <shishir@livekit.io>
* Clean up initial score calculation. Default to 5
Signed-off-by: shishir gowda <shishir@livekit.io>
Co-authored-by: David Zhao <dz@livekit.io>
Improve scalability by batching subscriber updates on an interval.
When lots of subscribers join, the server ends up spending 20% CPU
sending each state change to everyone. There's a non-trivial amount of
overhead with each send operation.
For publishers, updates are sent right away.
Newly joining participant does not get information about
currently active speaker till there is a speaker state change.
This addresses it by sending a speaker update on subscription
if the subscribed to participant is actively speaking.
* Improve frequency of stats update
Prometheus stats are updated as the data becomes available, instead of
aggregated along with telemetry batches. Node availability decisions can
now react much faster to these stats.
* use the same intervals for connection quality updates
