| Full text | |
| Author(s): |
Costa, Filipo G.
;
Vogt, Francisco G.
;
Cesen, Fabricio Rodriguez
;
de Castro, Ariel Goes
;
Luizelli, Marcelo Caggiani
;
Rothenberg, Christian Esteve
Total Authors: 6
|
| Document type: | Journal article |
| Source: | PROCEEDINGS OF 2024 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, NOMS 2024; v. N/A, p. 9-pg., 2024-01-01. |
| Abstract | |
In recent years, the increasing demand for network resources due to real-time applications and data-intensive activities has posed challenges in managing and optimizing network performance. To assess network performance, security, and efficiency, traffic generation plays a crucial role. We 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. Our main contributions 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. We show 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. (AU) | |
| FAPESP's process: | 20/05115-4 - Probing planning for In-band network telemetry |
| Grantee: | Fábio Diniz Rossi |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 21/06981-0 - Spinner: towards efficient orchestration of intelligence in programmable data planes |
| Grantee: | Marcelo Caggiani Luizelli |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 21/00199-8 - SMART NEtworks and ServiceS for 2030 (SMARTNESS) |
| Grantee: | Christian Rodolfo Esteve Rothenberg |
| Support Opportunities: | Research Grants - Research Centers in Engineering Program |