Generating representative, live network traffic out of millions of code repositories

Tobias Bühler, Roland Schmid, Sandro Lutz, Laurent Vanbever · 2022

In theory, any network operator, developer, or vendor should have access to large amounts of live network traffic for testing their solutions. In practice, though, that is not the case. Network actors instead have to use packet traces or synthetic traffic, which is highly suboptimal: today's generated traffic is unrealistic. We propose a system for generating live application traffic leveraging massive codebases such as GitHub.

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