  Thanks to recent advancements in the technology, eXtended Reality (XR)
applications are gaining a lot of momentum, and they will surely become
increasingly popular in the next decade. These new applications, however,
require a step forward also in terms of models to simulate and analyze this
type of traffic sources in modern communication networks, in order to guarantee
to the users state of the art performance and Quality of Experience (QoE).
Recognizing this need, in this work, we present a novel open-source traffic
model, which researchers can use as a starting point both for improvements of
the model itself and for the design of optimized algorithms for the
transmission of these peculiar data flows. Along with the mathematical model
and the code, we also share with the community the traces that we gathered for
our study, collected from freely available applications such as Minecraft VR,
Google Earth VR, and Virus Popper. Finally, we propose a roadmap for the
construction of an end-to-end framework that fills this gap in the current
state of the art.
