Metaverse Network Traffic for Classification and Prediction
- Citation Author(s):
-
Yoga Suhas Kuruba Manjunath
(Toronto Metropolitan University)
Lian Zhao
(Toronto Metropolitan University)
Xiao-Ping Zhang (Shenzhen Key Laboratory of Ubiquitous Data Enabling, Tsinghua Shenzhen International Graduate School, Tsinghua University) - Submitted by:
- Yoga Suhas Kuruba Manjunath
- Last updated:
- DOI:
- 10.21227/0qs9-f852
- Data Format:
920 views
- Categories:
- Keywords:
Abstract
Metaverse Network Traffic dataset consists of comprehensive applications from Virtual, Augmented, and Mixed Realities. Dataset is captured in an intelligent platform built using Oculus Quest 2, traffic manager, and cloud rendering device using Virtual Desktop Streamer. The Dataset is captured in packet capture (.pcap) format. The extracted version in the form of comma-seperated value (.csv) file is also provided. However, .pcap file will provide more flexibility. Dataset is captured for 60, 90, and 120 Hz frames per seconds (FPS) configurations.
Instructions:
Cloud => Cloud_bitrate => FPS => Applications.
bitrate = {AB, 120 Mbps, 15 Mbps}; AB is adaptive bitrate
FPS = {60 Hz, 90 Hz, 120 Hz}
Applications = {Bigscreen, DirtRalley2.0, Hellblade VR, Reality Mixer, The Lab Augmented Reality, The Lab, VRChat}
Additional Information:
Virtual Reality applications = {Bigscreen, DirtRalley2.0, Hellblade VR, The Lab, VRChat}
Virtual Reality Video = {Bigscreen}
Virtual Reality Chat/VoIP = {VRChat}
Virtual Reality Games = {DirtRalley 2.0, Hellbalde VR, The Lab}
Augmented Reality = {Reality Mixer, The Lab Augmented Reality}
Mixed Reality = {Reality Mixer}
Please cite the below works,
@misc{manjunath2024reslearntransformerbasedresiduallearning,
title={ResLearn: Transformer-based Residual Learning for Metaverse Network Traffic Prediction},
author={Yoga Suhas Kuruba Manjunath and Mathew Szymanowski and Austin Wissborn and Mushu Li and Lian Zhao and Xiao-Ping Zhang},
year={2024},
eprint={2411.11894},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2411.11894},
}
@misc{manjunath2024discernxronlineclassifiermetaverse,
title={Discern-XR: An Online Classifier for Metaverse Network Traffic},
author={Yoga Suhas Kuruba Manjunath and Austin Wissborn and Mathew Szymanowski and Mushu Li and Lian Zhao and Xiao-Ping Zhang},
year={2024},
eprint={2411.05184},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2411.05184},
}
R