News

Christian Esteve Rothenberg, SMARTNESS PI and Director, Francisco G. Vogt, Fabricio Rodríguez Cesen, and Ariel Goes de Castro (UNICAMP), Filipo G. Costa and Marcelo Caggiani Luizelli (UNIPAMPA) have a new publication in the IEEE/IFIP Network Operations and Management Symposium (NOMS), held in Seoul, South Korea, in May 2024. The publication “PIPO-TG: Parameterizable High-Performance Traffic Generation”, as a result of a research collaboration between INTRIG/UNICAMP and UNIPAMPA.

To accomplish such task, the authors introduce PIPO-TG, a Tofino-based traffic generation for high-performance experiments. The primary objective of PIPO-TG is to generate realistic and diverse traffic patterns, enabling researchers to evaluate network performance under varying conditions providing customizable packet forwarding with P4 programmable data planes. The main contributions of the paper include user-defined packet header customization and open-source code for reproducibility. These efforts foster collaboration within the research community to advance traffic generation techniques. It is shown that PIPO-TG only requires a few lines of code to simulate heterogeneous network scenarios (e.g., traffic bursts and DDoS attacks) while maintaining hardware performance and flexibility.