| commit | cf9144e65f37402fc6f7dacb7bd7bad6fd596784 | [log] [tgz] |
|---|---|---|
| author | Alexander Chernavin <achernavin@netgate.com> | Fri Sep 23 12:41:31 2022 +0000 |
| committer | Matthew Smith <mgsmith@netgate.com> | Wed Sep 28 13:58:19 2022 +0000 |
| tree | b62b8ee793270b8291ed1b4a0a501551494ed1be | |
| parent | ce668aa3f6b79ca505d1282ee4ba2b3c26fb126c [diff] |
tests: stabilize wireguard ratelimiting test Type: test "test_wg_handshake_ratelimiting_multi_peer" has been unstable recently because the test strongly relies on execution speed. Currently, the test triggers ratelimiting for peer 1 and sends handshake initiations from peer 1 and 2 mixed up. After that, the test expects that all handshake initiations for peer 1 are ratelimited and a handshake response for peer 2 is received. Ratelimiting is based on the token bucket algorithm. The more time passes between triggering ratelimiting for peer 1 and sending a mixture of handshake initiations from peer 1 and 2, the more tokens will be added into the bucket for peer 1. Depending on delays between these steps, the number of tokens might be enough to process handshake initiations from peer 1 while they are expected to be rejected due to ratelimiting. With this change, these two steps are combined into one and the logic modified. The test triggers ratelimiting for both peer 1 and 2. Packets that trigger ratelimiting and that are to be rejected are sent in one batch that is going to reduce delays between packet processing. Also, verify that number of rejected handshake messages is in expected range instead of verifying the exact number as it still may slightly vary. Also, this should finish making the wireguard tests stable on Ubuntu 22.04 and Debian 11. Signed-off-by: Alexander Chernavin <achernavin@netgate.com> Change-Id: I3407d15abe1356dde23a241ac3650e84401c9802
The VPP platform is an extensible framework that provides out-of-the-box production quality switch/router functionality. It is the open source version of Cisco's Vector Packet Processing (VPP) technology: a high performance, packet-processing stack that can run on commodity CPUs.
The benefits of this implementation of VPP are its high performance, proven technology, its modularity and flexibility, and rich feature set.
For more information on VPP and its features please visit the FD.io website and What is VPP? pages.
Details of the changes leading up to this version of VPP can be found under doc/releasenotes.
| Directory name | Description |
|---|---|
| build-data | Build metadata |
| build-root | Build output directory |
| docs | Sphinx Documentation |
| dpdk | DPDK patches and build infrastructure |
| extras/libmemif | Client library for memif |
| src/examples | VPP example code |
| src/plugins | VPP bundled plugins directory |
| src/svm | Shared virtual memory allocation library |
| src/tests | Standalone tests (not part of test harness) |
| src/vat | VPP API test program |
| src/vlib | VPP application library |
| src/vlibapi | VPP API library |
| src/vlibmemory | VPP Memory management |
| src/vnet | VPP networking |
| src/vpp | VPP application |
| src/vpp-api | VPP application API bindings |
| src/vppinfra | VPP core library |
| src/vpp/api | Not-yet-relocated API bindings |
| test | Unit tests and Python test harness |
In general anyone interested in building, developing or running VPP should consult the VPP wiki for more complete documentation.
In particular, readers are recommended to take a look at [Pulling, Building, Running, Hacking, Pushing](https://wiki.fd.io/view/VPP/Pulling,_Building,_Run ning,_Hacking_and_Pushing_VPP_Code) which provides extensive step-by-step coverage of the topic.
For the impatient, some salient information is distilled below.
To install system dependencies, build VPP and then install it, simply run the build script. This should be performed a non-privileged user with sudo access from the project base directory:
./extras/vagrant/build.sh
If you want a more fine-grained approach because you intend to do some development work, the Makefile in the root directory of the source tree provides several convenience shortcuts as make targets that may be of interest. To see the available targets run:
make
The directory extras/vagrant contains a VagrantFile and supporting scripts to bootstrap a working VPP inside a Vagrant-managed Virtual Machine. This VM can then be used to test concepts with VPP or as a development platform to extend VPP. Some obvious caveats apply when using a VM for VPP since its performance will never match that of bare metal; if your work is timing or performance sensitive, consider using bare metal in addition or instead of the VM.
For this to work you will need a working installation of Vagrant. Instructions for this can be found [on the Setting up Vagrant wiki page] (https://wiki.fd.io/view/DEV/Setting_Up_Vagrant).
Several modules provide documentation, see @subpage user_doc for more end-user-oriented information. Also see @subpage dev_doc for developer notes.
Visit the VPP wiki for details on more advanced building strategies and other development notes.