English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

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

An Open Framework for Analyzing and Modeling XR Network Traffic