IRTT(1) v0.9.0 | IRTT Manual

February 11, 2018

NAME

irtt - Isochronous Round-Trip Time

SYNOPSIS

irtt command [args]

irtt help command

DESCRIPTION

IRTT measures round-trip time and other latency related metrics using UDP packets sent on a fixed period, and produces both text and JSON output.

COMMANDS

client
runs the client
server
runs the server
bench
runs HMAC and fill benchmarks
clock
runs wall vs monotonic clock test
sleep
runs sleep accuracy test
version
shows the version

EXAMPLES

After installing IRTT, start a server:

$ irtt server
IRTT server starting...
[ListenerStart] starting IPv6 listener on [::]:2112
[ListenerStart] starting IPv4 listener on 0.0.0.0:2112

While that’s running, run a client. If no options are supplied, it will send a request once per second, like ping. Here we simulate a one minute G.711 VoIP conversation by using an interval of 20ms and randomly filled payloads of 172 bytes:

$ irtt client -i 20ms -l 172 -d 1m --fill=rand --sfill=rand -q 192.168.100.10
[Connecting] connecting to 192.168.100.10
[Connected] connected to 192.168.100.10:2112

                         Min     Mean   Median      Max  Stddev
                         ---     ----   ------      ---  ------
                RTT  11.93ms  20.88ms   19.2ms  80.49ms  7.02ms
         send delay   4.99ms  12.21ms  10.83ms  50.45ms  5.73ms
      receive delay   6.38ms   8.66ms   7.86ms  69.11ms  2.89ms
                                                               
      IPDV (jitter)    782ns   4.53ms   3.39ms  64.66ms   4.2ms
          send IPDV    256ns   3.99ms   2.98ms  35.28ms  3.69ms
       receive IPDV    896ns   1.78ms    966µs  62.28ms  2.86ms
                                                               
     send call time   56.5µs   82.8µs           18.99ms   348µs
        timer error       0s   21.7µs           19.05ms   356µs
  server proc. time   23.9µs   26.9µs             141µs  11.2µs

                duration: 1m0s (wait 241.5ms)
   packets sent/received: 2996/2979 (0.57% loss)
 server packets received: 2980/2996 (0.53%/0.03% loss up/down)
     bytes sent/received: 515312/512388
       send/receive rate: 68.7 Kbps / 68.4 Kbps
           packet length: 172 bytes
             timer stats: 4/3000 (0.13%) missed, 0.11% error

In the results above, the client and server are located at two different sites, around 50km from one another, each of which connects to the Internet via point-to-point WiFi. The client is 3km NLOS through trees located near its transmitter, which is likely the reason for the higher upstream packet loss, mean send delay and IPDV.

BUGS

LIMITATIONS

“It is the limitations of software that give it life.”

-Me, justifying my limitations

Isochronous (fixed period) send schedule

Currently, IRTT only sends packets on a fixed period, foregoing the ability to simulate arbitrary traffic. Accepting this limitation offers some benefits:

Also, isochronous packets are commonly seen in VoIP, games and some streaming media, so it already simulates an array of common types of traffic.

Fixed packet lengths for a given test

Packet lengths are fixed for the duration of the test. While this may not be an accurate simulation of some types of traffic, it means that IPDV measurements are accurate, where they wouldn’t be in any other case.

Stateful protocol

There are numerous benefits to stateless protocols, particularly for developers and data centers, including simplified server design, horizontal scalabity, and easily implemented zero-downtime restarts. However, in this case, a stateful protocol provides important benefits to the user, including:

In-memory results storage

Results for each round-trip are stored in memory as the test is being run. Each result takes 72 bytes in memory (8 64-bit timestamps and a 64-bit server received packet window), so this limits the effective duration of the test, especially at very small send intervals. However, the advantages are:

As a consequence of storing results in memory, packet sequence numbers are fixed at 32-bits. If all 2^32 sequence numbers were used, the results would require over 300 Gb of virtual memory to record while the test is running. That is why 64-bit sequence numbers are currently unnecessary.

64-bit received window

In order to determine per-packet differentiation between upstream and downstream loss, a 64-bit “received window” may be returned with each packet that contains the receipt status of the previous 64 packets. This can be enabled using --stats=window/both with the irtt client. Its limited width and simple bitmap format lead to some caveats:

There are many ways that this simple approach could be improved, such as by:

However, the current strategy means that a good approximation of per-packet loss results can be obtained with only 8 additional bytes in each packet. It also requires very little computational time on the server, and almost all computation on the client occurs during results generation, after the test is complete. It isn’t as accurate with late (out-of-order) upstream packets or with long sequences of lost packets, but high loss or high numbers of late packets typically indicate more severe network conditions that should be corrected first anyway, perhaps before per-packet results matter. Note that in case of very high packet loss, the total number of packets received by the server but not returned to the client (which can be obtained using --stats=count) will still be correct, which will still provide an accurate average loss percentage in each direction over the course of the test.

Use of Go

IRTT is written in Go. That carries with it:

However, Go also has characteristics that make it a good fit for this application:

SEE ALSO

irtt-client(1), irtt-server(1)

IRTT GitHub repository

AUTHOR

Pete Heist pete@heistp.net

Many thanks to both Toke Høiland-Jørgensen and Dave Täht from the Bufferbloat project for their valuable advice. Any problems in design or implementation are entirely my own.

HISTORY

IRTT was originally written to improve the latency and packet loss measurements for the excellent Flent tool. Flent was developed by and for the Bufferbloat project, which aims to reduce “chaotic and laggy network performance,” making this project valuable to anyone who values their time and sanity while using the Internet.