QUIC-measurement-kit

This repo is the tools & scripts used for conducting the QUIC measurement described in [1] and the generated results.

What are these files?

Being said that these are a bunch of toolkits for protocol's implementation performance profiling, its hard to make them well-organized in a repo based on the fact that we need to adapt them for various opensource implementations. However, I did try the best to make them easy to read and reuse.

In general, the subdir kits contains all the scripts used for the measurements. Each implementation subdir contains 4 files and users need to know:

1. server.sh: to fire up the QUIC server;
2. client.sh: to fire up a single connection client and request a fixed amount of data block from the server;
3. multi_client.sh: to fire up multiple connections as clients and request fixed amount of data blocks from the server;
4. config.sh to move the instrumented source files into the orignal project.

How to run them & collect data from them?

Users need to follow the README.md in each subdir to conduct the measurements. Modifications should be made on those scripts (follow the inside comments) to enable/disable perf. To better visualize the perf result, flamegraph tools are highly recommended for analyses & calculation.

For throughput profiling, after the file is generated, users can use auto_proc.py to analyse the result (sum, average, etc.). Again, customizing the scripts based on your own needs is high recommended.

How do they work?

For CPU profiling, perf is the core tool that is called in the scripts. As for throughput, the process is a bit more complex: instrumentations need to be added in the source-code to obtain the real-time throughput. This is the main reason why this kit only support the QUIC implementations I adapted.

How to contribute to them?

Any helpful contribution to the scripts is welcome:

1. Optimize the scripts for better formed results.
2. Change the ways to obtain the throughput so that we don't have to add instrumentations every time.
3. create a high-level script to run all the tasks (CPU profiling, throughput test, etc.) automatically.
4. support the test for latency.

Reference

1. Dissecting QUIC Implementation Performance, Xiangrui et al. EuroSys2020 Poster, Greece.