Experimentation is an essential step for many scientific types of research since it enables the researcher to observe the validity of his hypotheses. In the context of computer networks, during the experimentation phase, it is challenging to find load generators that can model traffic patterns for the most diverse types of applications. In this sense, we present WAVE – Workload Assay for Verified Experiments. Being application agnostic, WAVE has been widely performed in load tests for video-on-demand and key-value store applications. In the current version, WAVE can generate loads for two distinct patterns: sinusoid and flashcrowd.

https://github.com/ifpb/wave

The Student Travel Grants (STG) by IFIP goes to Leandro Almeida, speaker of the full paper: “iRED: Improving the DASH QoS by dropping packets in programmable data planes” at the 18th International Conference on Network and Service Management, which happened at  Thessaloniki, Greece. This work was a collaboration between researchers from Brazil (IFPB, UFSCar, and UFU) and the Netherlands (UvA).

The demonstration entitled Improving the DASH QoS by dropping packets in programmable data planes was accepted for presentation at IEEE Global Communications Conference 2022. Congrats to the LERIS team.