DOKK / manpages / debian 10 / irtt / irtt.1.en
IRTT(1) IRTT Manual IRTT(1)

irtt - Isochronous Round-Trip Time

irtt command [args]

irtt help command

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.

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

After installing IRTT, start a server:

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

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
[Connecting] connecting to
[Connected] connected to
                         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.

Windows is unable to set DSCP values for IPv6.
Windows is unable to set the source IP address, so --set-src-ip may not be used on the server.
The server doesn't run well on 32-bit Windows platforms. When connecting with a client, you may see Terminated due to receive error. To work around this, disable dual timestamps from the client by including --tstamp=midpoint.

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

-Me, justifying my limitations

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

It's easy to implement
It's easy to calculate how many packets and how much data will be sent in a given time
It simplifies timer error compensation

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

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.

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:

Smaller packet sizes (a design goal) as context does not need to be included in every request
More accurate measurement of upstream vs downstream packet loss (this gets worse in a stateless protocol as RTT approaches the test duration, complicating interplanetary tests!)
More accurate rate and test duration limiting on the server

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:

It's easier to perform statistical analysis (like calculation of the median) on fixed arrays than on running data values
We don't need to either send client timestamps to the server, or maintain a local running window of sent packet info, because they're all in memory, no matter when server replies come back
Not accessing the disk during the test to write test output prevents inadvertently affecting the results
It simplifies the API

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.

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:

Per-packet differentiation is not available (for any intervening packets) if greater than 64 packets are lost in succession. These packets will be marked with the generic Lost.
While any packet marked LostDown is guaranteed to be marked properly, there is no confirmation of receipt of the receive window from the client to the server, so packets may sometimes be erroneously marked LostUp, for example, if they arrive late to the server and slide out of the received window before they can be confirmed to the client, or if the received window is lost on its way to the client and not amended by a later packet's received window.

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

Allowing a wider window
Encoding receipt seqnos in a more intelligent way to allow a wider seqno range
Sending confirmation of window receipt from the client to the server and re-sending unreceived windows

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.

IRTT is written in Go. That carries with it:

Non-negligible system call overhead
A larger executable size than with C
Somewhat slower execution speed than C (although not that much slower (

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

Go's target is network and server applications, with a focus on simplicity, reliability and efficiency, which is appropriate for IRTT
Memory footprint tends to be significantly lower than with some interpreted languages
It's easy to support a broad array of hardware and OS combinations

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

IRTT GitHub repository (

Pete Heist <>

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.

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.

February 11, 2018 v0.9.0