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Install Livepeer Client

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Benchmark Transcoding

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how to guides

Benchmark transcoding


  • Make sure livepeer_bench is installed by following the installation guide. livepeer_bench is included in all binary releases and can also be built using the build from source instructions

Download the test stream

A test stream will be used for benchmarking transcoding.

wget -c https://storage.googleapis.com/lp_testharness_assets/bbb_1080p_30fps_1min_2sec_hls.tar.gz
tar -xvf bbb_1080p_30fps_1min_2sec_hls.tar.gz
ls bbb/   # Should print the stream *.ts segments and source.m3u8 manifest

Run livepeer_bench

The number and type of output renditions will affect benchmark results. The following instructions will use a common output rendition configuration. Make sure to copy and paste the JSON file for that configuration into a file called transcodingOptions.json.

livepeer_bench \
    -in bbb/source.m3u8 \
    -transcodingOptions transcodingOptions.json \
    -nvidia <NVIDIA_GPU_IDs> # Only required for transcoding with GPUs
    -concurrentSessions <CONCURRENT_SESSIONS>
  • -nvidia is used to specify a comma delimited string of Nvidia GPU IDs. The flag is only required when transcoding with Nvidia GPUs
  • -concurrentSessions is used to specify the number of concurrent transcoding sessions. The default value is 1

By default, the segments of the stream will be queued one-by-one as they would arrive in a livestream. Since livestreams are the most common type of workload on the network today, you should typically just use this default. If you want to queue all segments at once without any gaps in time (replicating a video-on-demand scenario) you can manually turn live mode off (other flags omitted):

livepeer_bench \
  -in bbb/source.m3u8 \

The first few lines of the output should show the source file, the output rendition profiles, and number of concurrent sessions:

| Source File         | .../go-livepeer/bbb/source.m3u8              |
| Transcoding Options | P240p30fps16x9,P360p30fps16x9,P720p30fps16x9 |
| Concurrent Sessions | 1                                            |
| Live Mode           | true                                         |

As each segment gets transcoded, the segment-wise transcoding metrics will be output in CSV format:

2021-03-12 00:21:29.1412,0,0,2,0.2545
2021-03-12 00:21:30.998,0,1,2,0.1107
2021-03-12 00:21:32.9816,0,2,2,0.09381
2021-03-12 00:21:34.9786,0,3,2,0.09031
2021-03-12 00:21:36.9806,0,4,2,0.09178
2021-03-12 00:21:38.9811,0,5,2,0.09216
2021-03-12 00:21:40.9831,0,6,2,0.09363
2021-03-12 00:21:42.9874,0,7,2,0.09746
2021-03-12 00:21:44.9885,0,8,2,0.09811
2021-03-12 00:21:46.9851,0,9,2,0.09412

When all the transcoding sessions end it will output some metrics. The ones to look out for are the two real-time ratios. "Real-Time Segs Ratio" captures the number of segments transcoded in real-time. "Real-Time Duration Ratio" captures the total time taken to transcode all segments relative to the total duration of all source segments.

| Concurrent Sessions          | 1                   |
| Total Segs Transcoded        | 10                  |
| Real-Time Segs Transcoded    | 10                  |
| * Real-Time Segs Ratio *     | 1                   |
| Total Source Duration        | 20s                 |
| Total Transcoding Duration   | 1.1165546499999999s |
| * Real-Time Duration Ratio * | 0.05583             |

Note: This benchmark only gauges local transcoding capacity. Generally, you want the transcode time to at least be lower than the total segment duration which means that you are transcoding locally in under real-time. That being said, the lower the transcode time is relative to the total segment duration, the better because overall transcoding performance on the network depends on how fast video is transcoded and how fast video is uploaded/downloaded from an orchestrator.

If you want to get a rough idea of how many streams you can transcode simultaneously, you can increase the number of concurrent sessions via -concurrentSessions and compare the total time taken. Refer to the session limits guide for more details.

To export the segment-wise CSV data to a file output.csv and analyze it with other tools:

livepeer_bench \
    -in bbb/source.m3u8 \
    -transcodingOptions transcodingOptions.json \
    -nvidia <NVIDIA_GPU_IDs> # Only required for transcoding with GPUs
    -concurrentSessions <CONCURRENT_SESSIONS> > output.csv


Connect an orchestrator with separate transcoders


Set Session Limits

Pre-requisitesDownload the test streamRun livepeer_bench