Network research relies on packet generators to assess performance and correctness of new ideas. Software-based generators in particular are widely used by academic researchers because of their flexibility, affordability, and open-source nature. The rise of new frameworks for fast IO on commodity hardware is making them even more attractive. Longstanding performance differences of software generation versus hardware in terms of throughput are no longer as big of a concern as they used to be few years ago.

This paper investigates the properties of several high-performance software packet generators and the implications on their precision when a given traffic pattern needs to be generated. We believe that the evaluation strategy presented in this paper helps understanding the actual limitations in high-performance software packet generation, thus helping the research community to build better tools.