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bgperf

bgperf is a performance measurement tool for BGP implementation.

Prerequisites

  • Python 2.7 or later
  • Docker
$ git clone https://github.com/osrg/bgperf
$ cd bgperf
$ pip install -r pip-requirements.txt
$ ./bgperf.py --help
usage: bgperf.py [-h] [-b BENCH_NAME] [-d DIR]
                 {doctor,prepare,update,bench,config} ...

BGP performance measuring tool

positional arguments:
  {doctor,prepare,update,bench,config}
    doctor              check env
    prepare             prepare env
    update              pull bgp docker images
    bench               run benchmarks
    config              generate config

optional arguments:
  -h, --help            show this help message and exit
  -b BENCH_NAME, --bench-name BENCH_NAME
  -d DIR, --dir DIR
$ ./bgperf.py prepare
$ ./bgperf.py doctor
docker version ... ok (1.9.1)
bgperf image ... ok
gobgp image ... ok
bird image ... ok
quagga image ... ok

Use bench command to start benchmark test. By default, bgperf benchmarks GoBGP. bgperf boots 100 BGP test peers each advertises 100 routes to GoBGP.

$ sudo ./bgperf.py bench
run tester
tester booting.. (100/100)
run gobgp
elapsed: 16sec, cpu: 0.20%, mem: 580.90MB
elapsed time: 11sec

To change a target implementation, use -t option. Currently, bgperf supports BIRD and Quagga other than GoBGP.

$ sudo ./bgperf.py bench -t bird
run tester
tester booting.. (100/100)
run bird
elapsed: 16sec, cpu: 0.00%, mem: 147.55MB
elapsed time: 11sec
$ sudo ./bgperf.py bench -t quagga
run tester
tester booting.. (100/100)
run quagga
elapsed: 33sec, cpu: 0.02%, mem: 477.93MB
elapsed time: 28sec

To change a load, use following options.

  • -n : the number of BGP test peer (default 100)
  • -p : the number of prefix each peer advertise (default 100)
  • -a : the number of as-path filter (default 0)
  • -e : the number of prefix-list filter (default 0)
  • -c : the number of community-list filter (default 0)
  • -x : the number of ext-community-list filter (default 0)
$ sudo ./bgperf.py bench -n 200 -p 50
run tester
tester booting.. (200/200)
run gobgp
elapsed: 23sec, cpu: 0.02%, mem: 1.26GB
elapsed time: 18sec

For a comprehensive list of options, run sudo ./bgperf.py bench --help.

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